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Senior Advisor, Data Science Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us as a Senior Advisor on our Data Science team in Bangalore to do the best work of your career and make a profound social impact. What You’ll Achieve Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. You will: Develop Gen AI-based solutions to tackle real-world challenges using extensive datasets of text, images, and more Design and manage experiments; research new algorithms and optimization methods Build and maintain data pipelines and platforms to operationalize Machine Learning models at scale Demonstrate a passion for blending software development with Gen AI and ML Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements Design, implement, test and maintain ML solutions within Dell's services organization Engage in design discussions, code reviews, and interact with various stakeholders Collaborate across functions to influence business solutions with technical expertise Thrive in a startup-like environment, focusing on high-priority tasks Desired Requirements Proficiency in Data Science Platforms (Domino Data Lab, Microsoft Azure, AWS, Google Cloud) | Deep knowledge in ML, data mining, statistics, NLP, or related fields | Experience in object-oriented programming (C#, Java) and familiarity with Python, Spark, TensorFlow, XGBoost | Experience in productionizing ML models and scaling them for low-latency environments | Proficient in Data Mining, ETL, SQL OLAP, Teradata, Hadoop 8+ years of related experience with a bachelor’s degree; or 6+ years with a Master’s; or 3+ years with a PhD; or equivalent experience Who We Are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 20th Aug 2025 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here. Job ID: R274037

🔹 Experience: 10+ Years 🔹 Education: B.Tech from Tier 1 Institutes only (IITs, BITS Pilani, NITs, IIITs, DTU, NSUT, etc.) 🔹 Role Overview: As an SDE-IV, you’ll architect highly scalable backend systems, lead engineering best practices, and mentor a team of talented developers. You should bring deep technical expertise and strong design thinking. 🔸 Key Responsibilities: Architect and design distributed systems with high scalability and reliability Lead design reviews, code reviews, and system optimization efforts Collaborate with cross-functional teams on system architecture and tech strategy Champion best practices in coding, testing, and DevOps 🔸 Must-Have Skills: Expert in Core Java , OOPS , Multithreading , and system design Proven experience in designing large-scale, low-latency systems Strong knowledge of performance tuning, distributed transactions, and JVM internals 🔸 Leadership Qualities: Experience mentoring engineers and leading projects end-to-end Strategic thinking and decision-making capability in fast-paced environments

General Information Locations : Hyderabad, Telangana, India Role ID 209940 Worker Type Regular Employee Studio/Department CT - IT Work Model Hybrid Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. As Software Engineer, you will work as a Lead Full stack UI Developer and develop scalable Web applications for millions of players worldwide. You will apply the latest UI and Backend technologies to implement modern, sleek applications. You would also work with Scrum master and Product managers and partners to deliver products in the area of Player experience. What you'll do: You'll partner with Product managers and architects to develop scalable and efficient solutions to improve fan care and push fan growth You'll implement high-volume, low-latency UI applications using React, NextJS, Tailwind, or Bootstrap on typescript You'll build Frontend design and integrations with backend services using NodeJS You'll work on cloud native serverless solutions to achieve product capabilities. You'll lead the end-to-end deliverables of a product line You'll be responsible for code quality and efficiency including unit tests. You'll have to collaborate with the best designers, engineers of different technical backgrounds, and architects. You'll report to Engineering Manager. What we are looking for: Bachelor's degree in Computer science engineering or equivalent with overall 8+ years of experience as a Lead Full stack UI engineer (MERN stack preferable) Overall 8+ years of experience working in front end technologies like NextJS, React or Angular along with advanced CSS technologies like Tailwind, Bootstrap with unit tests using to ensure production ready code with minimalistic bugs 5+ years of JavaScript programming experience with knowledge of advanced JavaScript concepts like compilation, webpack, bundling,TypeScript, SCSS Must have knowledge of Design patterns, scalable architectures, GIT, and Coding standards. 2+ years experience working on cloud services like AWS Good experience with SQL and NoSQL Databases and its query languages. Understanding of Containerization concepts, CICD and go to market for web applications. Experience with Agile methodologies to iterate quickly on product changes, develop user stories and work through backlogs. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language The India and Emerging Stores (IES) Technology team builds products and services that solve unique customer needs in Amazon’s fastest growing marketplace. Imagine building platforms that enables Customer Shopping Experience and Purchase Decisions made easy on Amazon. Would you like to be part of a team that accelerates India first global innovation on customer reach initiatives? We are seeking Software Development Engineers excited by the opportunity to work with multiple Amazon platforms and leverage data science to experiment bold new initiatives. Our SDEs at IES innovates and builds new capabilities by working backwards from the needs of shoppers, sellers in IN Marketplace. They work on a wide range of technologies (including Lambda, Step Function, Kinesis and ML), build and operate highly scalable, low latency products and services, which can be launched WW on Day 1. SDEs are instrumental in shaping the product direction and actively involve in defining key product features that impact the business. They work with Sr.SDEs / PEs at Amazon to evolve the design of the products owned by the team. They are responsible to set up and hold a high software quality bar. They focus on improving team’s engineering & operational excellence practices. They mentor SDEs, train new team-mates on how your team’s software is constructed, how it operates, how secure it is, and how it fits into the bigger picture. If you are looking for an opportunity to build creative technology solutions that positively impact hundreds of millions of international customers, and relish large ownership and diverse technologies, join our team today! You will be instrumental in shaping the product direction and will be actively involved in defining key product features that impact the business. You will work with Sr.Engineers at Amazon to evolve the design of the products owned by this team. You will be responsible to set up and hold a high software quality bar as part of our highly technical team of Software Engineers. Position Responsibilities: - Work closely with senior engineers to design, implement and deploy applications that impact the Amazon.in business with an emphasis on Mobile, Payments, and e-Commerce website development. - Own the delivery of an integral piece of a system or application. - Management and execution against project plans and delivery commitments - Assist directly and indirectly in the continual hiring and development of technical talent. - Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts The ideal candidate will be a leader, quick learner and be able to work independently. He/she should be able to operate in a very fast paced environment where time to hit market is super critical. The candidate will need to balance technical leadership and savvy with strong business judgment to make the right decisions about technology choices. 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Technical Product Manager As a Technical Product Manager (TPM) for our internal Observability & Insights Platform, you will be responsible for defining the product strategy, owning discovery and delivery, and ensuring our engineers and stakeholders across 350+ services can build, debug, and operate confidently. You will own and evolve a platform that includes logging (ELK stack), metrics (Prometheus, Grafana, Thanos), tracing (Jaeger), structured audit logs, and SIEM integrations, while competing with high-cost solutions like Datadog and Honeycomb. Your impact will be both technical and strategic, improving developer experience, reducing operational noise, and driving platform efficiency and cost visibility. Key Deliverables (Quarterly Outcomes) Successfully manage and deliver initiatives from the Observability Roadmap / Job Jar, tracked via RAG status and Jira epics. Complete structured discoveries for upcoming capabilities (e.g., SIEM exporter, SDK adoption, trace sampling). Design and roll out scorecards (in Port) to measure observability maturity across teams. Ensure feature parity and stakeholder migration in cost-saving initiatives (e.g., Datadog , Prometheus). Track and report platform usage, reliability, and cost metrics aligned to business outcomes. Drive feature documentation, adoption plans, and enablement sessions across engineering. Jobs To Be Done Define and evolve the observability product roadmap (Logs, Metrics, Traces, SDK, Dashboards, SIEM). Lead dual-track agile product discovery for upcoming initiatives gather context, define problem, validate feasibility. Partner with engineering managers to break down initiatives into quarterly deliverables, epics, and sprint-level execution. Maintain the Observability Job Jar and present RAG status every 2 weeks with confidence backed by Jira hygiene. Define and track metrics to measure success of every platform capability (SLOs, cost savings, adoption %, etc). Work closely with FinOps, Security, and Platform teams to ensure observability aligns with cost, compliance, and operational goals. Champion the adoption of SDKs, scorecards, and dashboards via enablement, documentation, and evangelism. Ways Of Working Work in dual-track agile : Discover next quarters priorities while delivering this quarters committed outcomes. Maintain a GPS PRD (Product Requirements Doc) for each major initiative : What problem are we solving? Why now? How do we measure value? Collaborate deeply with engineers in backlog grooming, planning, demos, and retrospectives. Follow RAG-based reporting with stakeholders: escalate risks early, present mitigation paths clearly. Operate with full visibility in Jira (Initiative , Epics , Stories , Subtasks), driving delivery rhythm across sprints. Use quarterly Job Jar reviews to recalibrate product priorities, staffing needs, and stakeholder alignment. You Should Have 10+ years of product management experience, ideally in platform/infrastructure products. Proven success managing internal developer platforms or observability tooling. Experience launching or migrating enterprise-scale telemetry stacks (e.g., Datadog , Prometheus/Grafana, Honeycomb , Jaeger). Ability to break down complex engineering requirements into structured product plans with measurable outcomes. Strong technical grounding in cloud-native environments (EKS, Kafka, Elasticsearch, etc). Excellent documentation and storytelling skills especially to influence engineers and non-technical stakeholders. Success Metrics Reduction in Datadog/Honeycomb usage & cost post migration. Uptime & latency of observability pipelines (Jaeger, ELK, Prometheus). Scorecard improvement across teams (Bronze , Silver , Gold). Number of issues detected/resolved using the new observability stack. Time to incident triage with new tracing/logging capabilities. (ref:hirist.tech)

Role Summary Were looking for a data-science leader who can turn raw data into clear insight and innovative AI products. Youll own projects end-to-end - from framing business questions and exploring datasets to deploying and monitoring models in the cloud. Along the way youll introduce generative-AI ideas such as chat assistants and retrieval-augmented search, steer a small team of data professionals, and work closely with product, engineering, an business stakeholders to deliver measurable Responsibilities : Design and build predictive & forecasting models that drive measurable impact. Plan and run A/B experiments to validate ideas and guide product decisions. Develop and maintain data pipelines that ensure clean, trusted, and timely datasets. Lead generative-AI initiatives (e.g., LLM-powered chat, RAG search, custom embeddings). Package, deploy, and monitor models using modern MLOps practices in public cloud. Establish monitoring & alerting for accuracy, latency, drift, and cost. Mentor and coach the team, conducting code reviews and sharing best practices. Translate complex findings into clear, action-oriented stories for non-technical audiences. Ensure data governance and privacy across all projects, meeting internal and industry standards. Continuously evaluate new tools & methods, running quick PoCs to keep solutions Skills & Experience : Solid foundation in statistics, experiment design, and end-to-end ML workflows. Strong Python and SQL; proven record of moving models from notebook to production. Hands-on cloud experience (AWS, Azure, or GCP) with container-based deployment and CI/CD. Practical exposure to generative-AI projects - prompt engineering, fine-tuning, or retrieval-augmented pipelines. (ref:hirist.tech)

Job Description If you're ready to lead with ownership and precision, and have a knack for turning vision into reality, we want to hear from you! Unleash your passion for product innovation by spearheading customer-centric development, inspiring groundbreaking solutions, and shaping the future with your strategic vision, influence and execution! The Home Lending Data Testing team provides centralized prioritization, planning, design, execution leadership, and support for large, complex, technology-dependent data programs across the Home Lending organization. As a key driver in the project delivery lifecycle, this team partners across CCB and the JPMC Enterprise to define strategies and approaches for testing Home Lending Data initiatives, as well as setting and stewarding sound UAT Management methodologies. As a P roduct Manager in Home Lending , you will lead a team of automation engineers, partnering with product owners, supporting technology teams, and testing transformation to contribute to the strategic data automation planning and tactical build/execution of data testing across a diverse application suite. Job Responsibilities Lead, mentor, and inspire a team of data automation engineers and leads across multiple domains and source systems, fostering a culture of innovation and excellence. Design and develop high-volume, low-latency tools to support the testing of Home Lending applications. Own and guide the modernization of our automation framework, including the migration of legacy/local scripts to AWS, and enabling cloud-based test execution and monitoring. Build self-service automation insight reporting (in AWS or tools like Tableau) to provide visibility and business impact. Ensure seamless code integration into Home Lending Tech's CI/CD build and deploy pipelines. Define and document automation-focused test strategies for products and applications. Drive continuous improvement by exploring innovative solutions for design review and implementation. Implement ideas from concept through to execution, including root cause analysis. Manage timelines, dependencies, and resources while liaising with stakeholders and functional partners. Conduct market research and competitive analysis to identify opportunities for differentiation and innovation Build and implement architectural designs that enhance testing processes. Required Qualifications, Capabilities, And Skills Proven experience leading automation engineering teams. and experience migrating automation scripts to cloud platforms Advanced expertise in designing and deploying scalable systems on AWS (AWS Cloud Practitioner Certification required). Certified ScrumMaster (CSM) or equivalent Agile certification, demonstrating understanding of Agile methodologies. Strong understanding of the Software Development Life Cycle, contributing to all phases. Strong hands-on experience with databases (Oracle, MySQL, SQL Server) and proficiency in writing queries. Strong hands-on experience with functional testing automation tools (Selenium, Java, Cucumber, Python) and test automation frameworks (Selenium, PyTest, Java, Python, PySpark, etc.). Strong experience with data quality testing and working across multiple systems of record (Encompass, MFTS, Federated, etc.). Deep understanding of customer needs and pain points, using insights to guide product development and prioritize high-value features. Proficiency in data analytics to inform product decisions and improve user experience and business outcomes. Strong collaboration skills with engineering, design, and business teams, effectively communicating product goals and progress to stakeholders. Excellent organization and time management capabilities.Ability to coach and mentor team members with a mindset of curiosity, ownership, and accountability. Preferred Qualifications, Capabilities, And Skills A passion for storytelling with data, and translating automation results into business insights. Previous experience in user experience design and solution design Proficient in Figma, JIRA, JIRA Align, Excel, PowerPoint, Process Mapping Tools.AWS experince preferred Knowledge of cloud-native CI/CD workflows using tools such as Jenkins, AWS CodePipeline, or similar. Proficiency in Jira, Confluence, and agile tools for tracking and collaboration. Familiarity with data visualization tools (Tableau, Alteryx, QuickSight) is a plus. Bachelor's Degree in Computer Science, Information Technology, or a related field. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

At Yosemite Crew ( https://github.com/YosemiteCrew/Yosemite-Crew ) , we're creating an open, modern, and compassionate Practice Management System (PMS) designed with and for pet businesses, pet owners and developers. We're not just building software, we're building a community-powered platform that brings transparency, usability, and trust back into the tools vets rely on every day. We’re hiring a Frontend Developer to lead the development of mobile apps that integrate deeply with AI systems — from LLMs to on-device inference and intelligent user interactions. You’ll own the mobile layer end-to-end using Expo and Bare Workflow , while also collaborating with the AI/backend team to embed and optimize smart features into the app. Key Responsibilities: Build and maintain high-quality React Native apps (Expo + Bare) for iOS and Android Integrate AI models , APIs, and services into mobile apps (e.g., OpenAI, Hugging Face, custom endpoints) Design intelligent UI/UX flows based on AI-generated content or actions Collaborate with AI engineers to run model inference efficiently (cloud or on-device) Connect mobile apps with backend services via REST , WebSockets , or GraphQL Handle app lifecycle: development, debugging, testing, deployment to App Stores Required Skills & Qualifications: 1–3 years experience with React Native in both Expo and Bare workflows Solid grasp of JavaScript and TypeScript Experience integrating AI APIs (e.g., OpenAI , Replicate , custom LLM endpoints ) Ability to design and render dynamic UI based on AI responses Familiarity with OTA updates (EAS Update, CodePush) and deployment pipelines Comfortable with mobile app store requirements, permissions, push notifications Understanding of mobile-specific challenges around AI latency, streaming, and user experience Nice to Have: Backend development experience ( Node.js , Express , API creation) Experience working with on-device inference (e.g., TensorFlow Lite, Core ML) Familiarity with vector stores, RAG, or LLM orchestration tools (e.g., LangChain) Native module development in Swift , Kotlin , or bridging native SDKs Working knowledge of real-time communication (sockets, Firebase, etc.) Contributions to open source projects and prior startup experience Why join Yosemite Crew ? Help build something vets actually love using with ownership and long-term impact. Work with a small, values-driven team that truly listens. Shape a mission-led, community-first culture from day one. Get access to an expanding network of pet startups, tech leaders, and creators giving back to the industry.

Job Description Principal Software Development Engineer – Ticketing Platform Engineering At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Values are OCI’s foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really experienced, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you’ll belong and be encouraged. About Oracle Cloud Infrastructure (OCI) The next 5-10 years will see the software industry move from on-premise software solutions towards software delivery via cloud-based services. Oracle’s number one strength is the size and strength of our software portfolio to which most of the business world heavily uses. Our vision is to bring our customers to the Cloud. From our app server and development tools to our dataset and people management software, Oracle already has the core infrastructure that all of this is built on. The future is about providing higher level services that companies can consume on demand. Oracle is now recognized as a significant hyper-scale cloud provider offering hybrid capabilities, bridging the gap between on premise infrastructure and the Cloud to manage workloads in a secure, efficient, and cost-effective way. Who are we looking for? The Oracle ticketing Platform Engineering group is looking for a Principal Software Development Engineer with expertise and passion in building and growing services within large scale global cloud environment. Our mission is to provide critical tools and experiences to OCI operations and service teams across Oracle. This role will be responsible for designing, and implementing large, complex, and deeply integrated tooling services for Oracle Cloud Infrastructure. OCI is central to multiple businesses within Oracle, and cross organizational collaboration is common. We are looking for a deeply technical engineer that can thrive in this environment and provide designs and technical standards to implement large complex multi system integrations and platforms that will modernize how we do business as an Enterprise. We are looking for a candidate with a proven track record and the ability to lead execution while the product suite is growing and evolving. An innovator mentality is a must, the ability to roll up your sleeves and create designs, drive standards of implementation, create and streamline complex integration patterns, and write code are expected. You are the technical champion for our organization, and you will be responsible for creating our technical strategy for the ever-evolving product suite. You are a technology leader. You will influence the decisions of senior business leaders through effective verbal and written communication, logical reasoning, and the presentation of key timelines and service evolution. You will mentor and grow the technical talent within the organization, and you will ensure the technical roadmap is adhered to as we integrate our service across OCI. Responsibilities Include: Work with senior architects and product management to define requirements Design and implement new features Define and guide engineering processes and procedures Review code written by your peers to ensure correctness and fit with the team's overall design principles Work with the team to operate services that host massive amounts of data Solid technically - You will build and improve component design/code for efficiency, performance, simplicity , scale and resiliency. Acumen for test coverage, observability, availability, durability Cloud Infra operations - LSE mitigation experience , CAPA, Observability improvements, Tooling Collaborate with the OCI Engineering communities Minimum qualifications: 10+ years of experience architecting, designing, and implementing enterprise server-side Java application Proven success in building high-volume, low latency cloud services using latest cloud native capabilities, Java/J2EE technologies and open source frameworks Experience in building secure applications using J2EE, role- based authorization, and Single Sign On. 5+ years of experience working with leading cloud platforms such as OCI, AWS, Azure and managing service in production. Experience in Infrastructure as code tools like terraform and Ansible An exceptional communicator who can write, present and effectively adjust messages to meet individual audiences and organizations Solid organization, communication and interpersonal skills Experience in mentoring and growing developers with many members located remotely and others that support success through a matrixed environment. Strong understanding of the Database systems. EDUCATION A Computer Science degree is preferred. An advanced degree is a plus. Career Level - IC4 Responsibilities Responsibilities Include: Work with senior architects and product management to define requirements Design and implement new features Define and guide engineering processes and procedures Review code written by your peers to ensure correctness and fit with the team's overall design principles Work with the team to operate services that host massive amounts of data Solid technically - You will build and improve component design/code for efficiency, performance, simplicity , scale and resiliency. Acumen for test coverage, observability, availability, durability Cloud Infra operations - LSE mitigation experience , CAPA, Observability improvements, Tooling Collaborate with the OCI Engineering communities Minimum qualifications: 10+ years of experience architecting, designing, and implementing enterprise server-side Java application Proven success in building high-volume, low latency cloud services using latest cloud native capabilities, Java/J2EE technologies and open source frameworks Experience in building secure applications using J2EE, role- based authorization, and Single Sign On. 5+ years of experience working with leading cloud platforms such as OCI, AWS, Azure and managing service in production. Experience in Infrastructure as code tools like terraform and Ansible An exceptional communicator who can write, present and effectively adjust messages to meet individual audiences and organizations Solid organization, communication and interpersonal skills Experience in mentoring and growing developers with many members located remotely and others that support success through a matrixed environment. Strong understanding of the Database systems. EDUCATION A Computer Science degree is preferred. An advanced degree is a plus. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Overview As an SDE / ML Engineer, you will be responsible for designing, developing, and maintaining scalable pipelines and infrastructure for machine learning models, ensuring high performance, reliability, and efficient deployment. You will work closely with a team of senior engineers to optimize systems, implement robust engineering practices, and contribute to the evolution of our ML and AI infrastructure through scalable software solutions. This position is for immediate joinees only. Key Responsibilities ML Engineering Translating working models into scalable ML pipeline solutions. Maintaining, deploying, and optimizing machine learning pipelines for production environments. Participate in the operational lifecycle of ML systems, including feature engineering support, performance benchmarking, monitoring, and seamless deployment. Tuning pipelines and infrastructure for efficiency, scalability, and low-latency operations. Collaborate with team members to integrate ML models into high-throughput data pipelines and distributed workflows, focusing on code quality, system reliability, and maintainability. Data Engineering Building and maintaining robust, scalable, and high-performance modelling pipelines that handle large-scale data processing. Cleaning, aggregating, & preprocessing data from diverse sources with an emphasis on efficient, parallelizable code. Optimize data retrieval, storage, and processing for speed and resource efficiency in distributed systems. Collaborate with the team on the development and maintenance of large-scale database systems, ensuring fault-tolerance and high availability. Qualifications Bachelor’s degree with 3-5 years of experience or Master’s degree with 2-4 years of experience in Computer Science, Software Engineering, or a related field. Excellent understanding of data structures, algorithms, and software engineering principles, with a proven track record of writing clean, efficient, and maintainable code. Strong command over programming languages, especially Python and Java. Experience with distributed systems and orchestration frameworks such as Kafka for streaming data and Kubernetes for container management. Knowledge of SQL and hands-on experience with large-scale databases and distributed systems (e.g., BigTable, Spark, Hive). Strong problem-solving skills, ability to optimize for performance and scale, and quick learning aptitude. Excellent communication and teamwork skills. About Us Minivet.ai is a small AI products and services firm providing on-prem AI solutions tailored to clients in India and across the world. We take pride in our innovation, and in our ability to empower businesses to address their unique challenges. We collaborate closely with each client, ensuring that every AI solution is a pivotal business advantage to them. This role is a full-time position and is for people living in Bengaluru, India. Application Process Please send your resume as a PDF to jobs@minivet.ai with the subject “SDEJUL25” and the following fields in the message: “Name”, “Highest Qualification”, “Year of completion”, “Phone Number”, “Earliest Joining Date”, “Reason” why you think you are a good fit. If you have less than 2 years of experience, we will be opening up a different position, please DO NOT apply . Applications will be scanned by software and hence applications not meeting the format requirements will not be considered.

Job Description Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Investment Banking Goldman Sachs Investment Banking (IB) works on some of the most complex financial challenges and transactions in the market today. Whether advising on a merger, providing financial solutions for an acquisition, or structuring an initial public offering, we handle projects that help clients at major milestones. We work with corporations, pension funds, financial sponsors, and governments and are team of strong analytical thinkers, who have a passion for producing out-of-the-box ideas. The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments, and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world. Who We Look For You are a proven full stack engineer. Not only strong technically, you have shown that you can work effectively with product managers, designers and other engineering teams. You have a fierce sense of ownership, caring deeply about the quality of everything that you deliver into your clients’ hands. You love the challenge of engineering and are confident in your ability to bring clarity and direction to ambiguous problem spaces. You work well in a fast-paced environment while deeply invest in long term quality and efficiency. Basic Qualifications 3+ years of hands-on development experience in Core Java (Java 11-21) or Python, and proficiency in backend technologies such as Databases (SQL/No-SQL), Elastic Search, MongoDB, Spring framework, REST, GraphQL, Hibernate, etc. Experience with front-end development with React, Redux, Vue, Typescript, and/or similar frameworks. Demonstrated experience operating in a fast-paced Agile/Scrum setup with a global/remote team. Knowledge of developing and deploying applications in public cloud (AWS, GCP or Azure) or K8S. Experience with implementing unit tests, integration tests, Test Driven Development. Strong development, analytical and problem-solving skills. Knowledge of prompt engineering, LLM, AI Agents, etc. Preferred Qualifications Excellent communication skills and experience working directly with business stakeholders. Data modeling, warehousing (Snowflake, AWS Glue/ EMR, Apache Spark ) and a strong understanding of data engineering practices. Technical, Team or Project leadership experience. Some experience using Infrastructure-As-Code tools (e.g. AWS CDK, Terraform, CloudFormation) Experience with reactive, event-based architectures. Goldman Sachs Engineering Culture At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here! © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.

Job Description What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. SDLC Engineering focuses on delivering engineer-first, scalable platforms for job scheduling, Compute-as-a-Service, file transfer, firmwide software distribution and software development. This includes the CI/CD ecosystems, based around the GitLab and proprietary platforms. Software Development Life Cycle (SDLC) is a suite of products that provides end-to-end build and deploy tooling for Engineers in the firm. It provides a modern, secure and highly available plant that facilitates source control, code review, build, test and production activation. The primary customer base for the SDLCR tools are Engineers within Goldman Sachs. Key customers are the Global Banking & Markets as well as the Asset & Wealth Management and the Platform Solutions group. As India Lead and SDLC ENGINEER You will be responsible for all the deliverables owned by SDLC team in India. You will be working at the heart of the developer experience, ensuring the code that is written by thousands of GS engineers is versioned securely, reviewed expertly, compiles fast, tests comprehensively and is distributed widely. You will deliver CI/CD solutions that support cloud native development. You could be working with cutting edge build technology from AWS & Google, or the latest cloud technology in one of more backend languages including Java, Golang, and Python. SDLC Platforms Include Build / Development GitLab - The firm's strategic vendor CI/CD platform, hosted in-house with instances on-prem and on public cloud In-house developed Continuous Integration (CI) tools for deploying Software packages, config and Infrastructure as Code Distribution - Linux and Windows software distribution system used by GitLab, as well as proprietary distribution tooling Artifact Repository - Primary build artifact repository hosting terabytes of internal and external software packages and industry standard asset repos such as Maven Central, NPMScopes and PyPi, running on Sonatype Nexus Responsibilities Technical ownership of proprietary in-house built CI tooling for GS developers. Design and develop features and improvements to CI tools Technical Ownership of Upgrade and Migration assistant initiative that includes automating dependency upgrades using AI as appropriate Collaborate with Product Management and other stakeholders within Engineering to maintain and improve the functions and quality of service Ensure that CI products are secure, tested, and that meets or exceeds industry standard performance and availability Advocate for improvements to product quality, security, and performance Diagnose and solve technical problems, both within the core GitLab environment, and the associated GS technical eco-system What You Will Learn When You Join Us Cloud native architectures in AWS. Experience with large scale build systems and deployment paradigms Expertise in commercial / open source build systems (Gradle / Bazel / Make) and strong knowledge of software change management systems Experience of DevOps, SRE, infrastructure (storage / networks / etc.) Design and implement mid to large scale distributed systems Partner with and provide technical guidance on best practices to the GS engineering community, revenue aligned Engineering teams, and operations teams Core Skills And Experience We Are Looking For VP: Min. 12+ years of relevant industry experience respectively Ability to use and familiarity with GitLab Professional experience with Cloud deployment patterns. Specifically AWS cloud constructs, as well as Terraform General knowledge of multiple languages, and in-depth strong programming skills of at least one of: Java, Golang, Erlang, Python, C, C++ Strong software engineering fundamentals Experience with all stages in the lifecycle of developing and running large distributed systems Experience with diagnosis, prevention and management of performance, availability and scale of mid- to large-sized systems Experience using Prometheus and Grafana tools for Kafka health monitoring Experience with Cloud and Infrastructure as Code technologies - AWS, Terraform, Containers, Docker, Kubernetes, etc Passionate about the software development process and facilitating high frequency / high quality change across a vibrant and diverse user community Strong written and verbal English language skills ATTITUDES WE WANT Ability to thrive in our global organization in an output driven, fast paced, hybrid and asynchronous work place Team player, eager to work in a global organization. Ability to communicate technical and organizational challenges and propose high quality solutions Comfort working in an agile environment Self-managed and good organization skills Preferred Qualifications BSc, MSc or PhD in relevant field (Computer Science, Maths, Physics) Highly knowledgeable about running key business applications on Linux platforms and Linux internals. Knowledgeable about networking (TCP, UDP, ICMP, ARP, DNS, TLS, HTTP, SSH, etc) About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

EQ Real-Time PL & Risk is a front office team responsible for the design, development and support of various technology platforms that enable our businesses to view, evaluate, hedge and trade the live position, pl and risk. We build and own the platforms that provide the entire firm with T0 unofficial and live risk and pl. Responsibilities Include Work with the R & D and application development teams to assist in design, prototype and implementation of next generation high-performance real time analytics solutions in the industry to scale with the business Assist the team in building out a market leading portfolio PL and Risk platform for latency critical processes with high visibility among trading teams as well as management teams. Work with different technologies to provide the state-of-the-art intraday analytics platforms used in various risk and portfolio management systems across the entire firm Contribute to application development and architecture of highly scalable real time platforms Qualifications, Skills And Requirements 4+ years of experience in C++ application development on Linux along with good understanding of the Linux operating system. Experience writing and maintaining multi-threaded, multi-process and low-latency C++ along with profiling and optimizing platforms/jobs. Can write clean code with tests. Basic understanding of Computer Networking Experience with event driven architecture using message bus and caching technologies like Solace, Kafka, Pulsar, Memcached, Redis etc. Experience working with various monitoring tools like Datadog, ELK stack etc. Familiarity with Database technologies – Advanced SQL, NoSQL, Time-series databases (KDB) Excellent grasp of data structures and algorithms and the ability to learn and adopt new technologies quickly A strong interest in financial markets and a desire to work directly with investment professionals Good team player with a strong willingness to participate and help others Drive to learn and experiment Nice-to-have Experience building large-scale real-time portfolio risk and pl engines Experience re-building platforms to scale horizontally with the business Experience with KDB+ q or interfacing C/C++ with KDB Experience building Python bindings for C++ libraries

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary MLOps Engineering manager Horizontal Data Science Enablement Team within SSO Data Science is looking for a MLOps Engineering Manager who can help solve MLOps problems, manage the Databricks platform for the entire organization, build CI/CD or automation pipelines, and lead best practices. All About You Oversee the administration, configuration, and maintenance of Databricks clusters and workspaces. Continuously monitor Databricks clusters for high workloads or excessive usage costs, and promptly alert relevant stakeholders to address issues impacting overall cluster health. Implement and manage security protocols, including access controls and data encryption, to safeguard sensitive information in adherence with Mastercard standards. Facilitate the integration of various data sources into Databricks, ensuring seamless data flow and consistency. Identify and resolve issues related to Databricks infrastructure, providing timely support to users and stakeholders. Work closely with data engineers, data scientists, and other stakeholders to support their data processing and analytics needs. Maintain comprehensive documentation of Databricks configurations, processes, and best practices and lead participation in security and architecture reviews of the infrastructure Bring MLOps expertise to the table, namely within the scope of, but not limited to: Model monitoring Feature catalog/store Model lineage maintenance CI/CD pipelines to gatekeep model lifecycle from development to production Own and maintain MLOps solutions either by leveraging open-sourced solutions or with a 3rd party vendor Build LLMOps pipelines using open-source solutions. Recommend alternatives and onboard products to the solution Maintain services once they are live by measuring and monitoring availability, latency and overall system health. What Experience You Need Master’s degree in computer science, software engineering, or a similar field. Strong experience with Databricks and its management of roles and resources Experience in cloud technologies and operations Experience supporting API’s and Cloud technologies Experience with MLOps solutions like MLFlow Experience with performing data analysis, data observability, data ingestion and data integration. 5+ DevOps, SRE, or general systems engineering experience. 2+ years of hands-on experience in industry standard CI/CD tools like Git/BitBucket, Jenkins, Maven, Artifactory, and Chef. Experience architecting and implementing data governance processes and tooling (such as data catalogs, lineage tools, role-based access control, PII handling) Strong coding ability in Python or other languages like Java, and C++, plus a solid grasp of SQL fundamentals Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. What could set you apart SQL tuning experience. Strong automation experience Strong Data Observability experience. Operations experience in supporting highly scalable systems. Ability to operate in a 24x7 environment encompassing global time zones Self-Motivating and creatively solves software problems and effectively keep the lights on for modeling systems. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-247976

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: Developing the firm’s Post Trade Platform tools - including reference data management, trade capture, reconciliation, P&L, trade cost management, surveillance, compliance and regulatory functions. Working with appropriate stakeholders to determine user requirements for a set of features. Collaborating with teams across the organization to develop reliable, scalable, and high-performance, software designs. Responsible for technological innovation in build-out of the new generation of middle office and back-office applications and processes. Qualifications: A bachelor’s degree or equivalent in computer science from a top college or university Good problem-solving skills with a minimum experience of 5 years. Knowledge of Python and Java, shell scripts and linux system Knowledge of SQL (i.e. MySQL, PostGres) and NoSQL (i.e. MongoDB, ElasticSearch) databases are highly desirable. Past role(s) within electronic trading and a thorough understanding of financial instruments including equities, commodities, credit, interest rates, foreign exchange, cryptocurrencies, futures, forwards, and options will be a plus Strong communication skills and fluent in English Benefits: Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: Generous paid time off policies Savings plans and other financial wellness tools available in each region Hybrid working opportunities Free breakfast, lunch, and snacks daily In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Volunteer opportunities and charitable giving Social events, happy hours, treats, and celebrations throughout the year Workshops and continuous learning opportunities At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together. Tower Research Capital is an equal opportunity employer.

Company Description About Sopra Steria Sopra Steria, a major Tech player in Europe with 50,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2024, the Group generated revenues of €5.8 billion. Job Description The world is how we shape it. Job Description and key skills: Monitor Splunk infrastructure, logs & dashboards for anomalies. Respond to alerts & incidents as part of business support. Perform initial triage, escalate to L3 when required. Work on incident resolution within defined SLA’s. Document the RCA for major incidents. Ensure high availability & reliability of Splunk environments (indexers, SHs, forwarders, etc.). Perform routine health checks & system audits. Handle Splunk configuration changes (inputs.conf, outputs.conf, props.conf, etc.). Manage users' access & roles. Identifying & resolving performance bottlenecks in indexing & searching. Monitor ingestion rates, indexing latency, data missing & storage usage. Work on daily deployments to create, update, and delete the Splunk apps, add-ons & configuration in a controlled manner. Maintain & validate data onboarding process with BSA, BAs, etc. Using scripts (bash, Python, etc.) to automate routine tasks. Work with CI/CD pipelines for Splunk deployments. Integrate Splunk with tools like ServiceNow, AWS, git, Jenkins, etc. Strong hands-on with Splunk core (Indexer, SH, Forwarder) Strong knowledge of Linux, networking & cloud platforms (AWS, GCP) Familiarity with ITIL process, especially incident, problem & change management Tools : ServiceNow, Git, Jenkins, AWS, GCP Certifications: - Splunk Core Certified User / Splunk Core Certified Power User Splunk Enterprise Certified Admin Splunk Cloud Certified Admin Total Experience Expected: 06-08 years Qualifications Qualification B.E. /B Tech in IT or Computer Engineering. Additional Information European Shift (if required). At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities.

What Success Looks Like In This Role DC Architect is responsible for designing, implementing, and optimizing modern data center infrastructures. This role requires expertise in data center networking, cloud integration, high-performance computing, and AI-driven automation. The architect will ensure high availability, scalability, security, and efficiency of data center operations, leveraging the latest AI technologies for automation, predictive maintenance, and energy efficiency. Provides Solutions Architecture consultation and advice Unisys-wide. Works with clients, Product Owners, Sales & Sales Excellence teams and other stakeholders to align the architectural direction of solution intent. Serves as lead on large-scale solution and component development, engaging with cross-functional leaders and stakeholders to ensure mutual understanding, ongoing communication and alignment of outcome expectations. Conducts or leads studies to determine the economic, technical and organizational feasibility of proposed solutions. Key Responsibilities Data Center Architecture & Design: Design and develop scalable, resilient, and high-performance data center architectures. Define and implement data center topology, including compute, storage, networking, and virtualization. Ensure seamless integration of on-premises and cloud-based (hybrid/multi-cloud) infrastructures. Develop AI-driven optimization models for workload balancing, power efficiency, and predictive scaling. Implementation & Deployment: Oversee the deployment of data center infrastructure, including servers, storage, SDN, and hyperconverged infrastructure (HCI). Implement AI-powered automation tools for resource provisioning, capacity planning, and self-healing systems. Integrate GPU-based computing for AI/ML workloads, supporting AI-driven applications and deep learning frameworks. Work closely with cross-functional teams to deploy secure, high-performance solutions. Network & Security Architecture: Design and implement AI-optimized networking for high-speed, low-latency data transfers. Configure SDN, NFV, and intent-based networking (IBN) solutions for data center automation. Implement AI-driven security solutions, including anomaly detection, threat prediction, and automated response systems. AI & Automation in Data Centers: Utilize AI for predictive analytics in infrastructure health monitoring and fault prediction. Deploy AI-powered DCIM (Data Center Infrastructure Management) solutions for automated energy optimization. Implement AIOps (Artificial Intelligence for IT Operations) to improve performance monitoring and troubleshooting. Optimize edge computing and AI workloads within data centers for faster processing and real-time analytics. Cloud & Hybrid Infrastructure: Design cloud-native architectures, ensuring seamless hybrid cloud and multi-cloud integration. Optimize workloads between on-prem, edge, and cloud environments using AI-based orchestration. Implement containerized infrastructure with Kubernetes, OpenShift, and cloud-based AI solutions. Performance Optimization & Sustainability: Improve energy efficiency using AI-powered cooling and power management systems. Ensure high availability and disaster recovery using AI-assisted fault tolerance and failover mechanisms. Work on Green Data Center initiatives to reduce carbon footprint using AI-driven insights. You will be successful in this role if you have: BA/BS degree and 12+ years’ relevant experience OR equivalent combination of education and experience Master’s degree preferred and proven skills in Data Center Design: Expertise in hyperconverged infrastructure (HCI), SDN, SD-WAN, and high-performance computing (HPC). Networking & Security: Deep knowledge of BGP, EVPN, VXLAN, firewall security, Zero Trust, and microsegmentation. AI & Automation: Hands-on experience with AI-driven network and data center automation tools (e.g., NVIDIA AI Enterprise, Ansible, Terraform, AI-driven DCIM). Cloud & Virtualization: Experience with VMware, OpenStack, Kubernetes, AWS/GCP/Azure networking. AI/ML in Data Centers: Knowledge of AI frameworks like TensorFlow, PyTorch, and AI hardware (NVIDIA GPUs, TPUs). Monitoring & Optimization: Experience with AIOps, predictive analytics, and intelligent workload management. Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys’ EEO commitment here.

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software. We are seeking AI Backend Engineers to play a pivotal role in building our Agentic Workflow Service and Retrieval-Augmented Generation (RAG) Service. In this hybrid role, you'll leverage your expertise in both backend development and machine learning to create robust, scalable AI-powered systems using AWS Kubernetes, Amazon Bedrock models, AWS Strands Framework, and LangChain / LangGraph. Understanding of and expertise in: Design and implement core backend services and APIs for agentic framework and RAG systems LLM-based applications using Amazon Bedrock models RAG systems with advanced retrieval mechanisms and vector database integration Implement agentic workflows using technologies such as AWS Strands Framework, LangChain / LangGraph Design and develop microservices that efficiently integrate AI capabilities Create scalable data processing pipelines for training data and document ingestion Optimize model performance, inference latency, and overall system efficiency Implement evaluation metrics and monitoring for AI components Write clean, maintainable, and well-tested code with comprehensive documentation Collaborate with multiple cross-functional team members including DevOps, product, and frontend engineers Stay current with the latest advancements in LLMs and AI agent architectures Minimum Experience Requirements 6+ years of total software engineering experience Backend development experience with strong Python programming skills Experience in ML/AI engineering, particularly with LLMs and generative AI applications Experience with microservices architecture, API design, and asynchronous programming Demonstrated experience building RAG systems and working with vector databases LangChain/LangGraph or similar LLM orchestration frameworks Strong knowledge of AWS services, particularly Bedrock, Lambda, and container services Experience with containerization technologies and Kubernetes Understanding of ML model deployment, serving, and monitoring in production environments Knowledge of prompt engineering and LLM fine-tuning techniques Excellent problem-solving abilities and system design skills Strong communication skills and ability to explain complex technical concepts Experience in Kubernetes, AWS Serverless Experience in working with Databases (SQL, NoSQL) and data structures Ability to learn new technologies quickly Preferred Qualifications: Must have AWS certifications - Associate Architect / Developer / Data Engineer / AI Track Must have familiarity with streaming architectures and real-time data processing Must have experience with ML experiment tracking and model versioning Must have understanding of ML/AI ethics and responsible AI development Experience with AWS Strands Framework Knowledge of semantic search and embedding models Contributions to open-source ML/AI projects We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare. Siemens Software. ‘Transform the everyday' , #SWSaaS

Redefine the future of customer experiences. One conversation at a time. We’re changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service®, our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you’re ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you’re in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing Nextiva is building a next-generation voice and video platform to power our Unified Communications (UCaaS) and Contact Center (CCaaS) products. This platform blends open-source components with in-house innovation to deliver carrier-grade quality and 99.999% uptime. We need a Software Engineer to drive development of real-time voice/video services, enhancing call quality and reliability and enabling AI-powered voice features on our unified customer experience (UCXM) platform. You will work on everything from media servers and audio processing to cloud deployment, ensuring our system is scalable, secure, and high performing. We operate with a DevOps culture – engineers own their code from development through production. Key Responsibilities Develop Core Communication Services: Build and maintain backend services for voice/video calling (signaling servers, call routing logic, media gateways) using SIP and WebRTC. Implement features like call setup, conferencing, transfers, and recording with a focus on efficiency and reliability. Enhance Audio Quality (DSP): Implement and tune digital signal processing algorithms for superior call audio. This includes noise suppression, echo cancellation, jitter buffer optimization, and voice activity detection to ensure crystal-clear, uninterrupted communication even on poor networks. Optimize Media & Codecs: Work with real-time media streaming (RTP) and various codecs (Opus, G.711, H.264, etc.). Optimize codec configurations and adapt bitrates on the fly based on network conditions to balance quality and bandwidth. Integrate Voice AI Features: Embed speech-to-text (ASR) and text-to-speech (TTS) capabilities into the platform. Enable AI voice agents to participate in calls by streaming audio to AI services and injecting synthesized speech responses. Manage conversation flow between humans and AI (handling interruptions, timing responses) to make interactions feel natural. Ensure Scalability & Resilience: Design services with a cloud-native approach (microservices, containers) for deployment on Kubernetes. Implement high-availability strategies (clustering, failover) across global data centers so that the platform achieves five-9s uptime with no downtime for maintenance. Performance & Reliability Tuning: Continuously profile and improve system performance end-to-end. Minimize call setup times and audio latency through efficient coding (C/C++ for media processing) and system optimizations. DevOps & Support: Use CI/CD pipelines to deploy updates safely with zero downtime. Write comprehensive automated tests (unit, integration, load) for your features. Participate in on-call rotation to troubleshoot and resolve production issues in real time, and implement lasting solutions to prevent recurrence. Collaboration: Work closely with Product Managers, front-end teams, AI/ML team and with network engineers. Qualifications Real-Time Communications: 5+ years of experience developing VoIP or real-time communication systems. Strong knowledge of SIP protocol, WebRTC, and related networking (RTP, NAT traversal). Proven ability to implement call logic and troubleshoot signaling and media issues. Audio/DSP Expertise: Hands-on experience with audio processing in real time. Familiarity with noise reduction, echo cancellation, jitter buffers, and other voice QoS techniques. Comfort optimizing or using audio codecs (Opus, G.711, etc.) and improving call quality under varying network conditions. Strong Coding Skills: Proficiency in C/C++ for high-performance, multi-threaded systems programming. Experience writing efficient, low-latency code (lock-free structures, memory management). Additionally, skilled with a higher-level language like Go or Java for building microservices and control logic. Cloud & Scalability: Experience building and deploying services in a cloud-native environment (Docker, Kubernetes). Knowledge of designing scalable microservices and using cloud infrastructure (AWS, GCP, or Azure) for load balancing, monitoring, and fault tolerance. Voice AI Familiarity: Exposure to integrating speech recognition and text-to-speech in applications. You’ve perhaps worked with voice assistants, IVR systems, or call center AI – you understand basic latency/accuracy trade-offs and how to interface with speech APIs/SDKs. Security & Compliance: Basic understanding of securing voice communications (TLS, SRTP) and safeguarding customer data (GDPR, HIPAA considerations for call recordings, etc.). Designs solutions with privacy and security best practices in mind. DevOps Mindset: Comfortable using CI/CD, infrastructure-as-code, and logging/monitoring tools. Willing to take ownership of code in production – debugging live issues, optimizing resource usage, and responding to incidents. Team Player: Excellent collaboration and communication skills. Experience working in Agile teams. Ability to clearly document designs and mentor others. A proactive attitude to problem-solving and an enthusiasm for continuous learning in the fast-evolving communications and AI field. Nextiva DNA (Core Competencies) Nextiva’s most successful team members share common traits and behaviors: Drives Results: Action-oriented with a passion for solving problems. They bring clarity and simplicity to ambiguous situations, challenge the status quo, and ask what can be done differently. They lead and drive change, celebrating success to build more success. Critical Thinker: Understands the "why" and identifies key drivers, learning from the past. They are fact-based and data-driven, forward-thinking, and see problems a few steps ahead. They provide options, recommendations, and actions, understanding risks and dependencies. Right Attitude: They are team-oriented, collaborative, competitive, and hate losing. They are resilient, able to bounce back from setbacks, zoom in and out, and get in the trenches to help solve important problems. They cultivate a culture of service, learning, support, and respect, caring for customers and teams. Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical 🩺 - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance 💼 - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance ⚖️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security💰 - Provident Fund & Gratuity Wellness 🤸‍ - Employee Assistance Program and comprehensive wellness initiatives Growth 🌱 - Access to ongoing learning and development opportunities and career advancement At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what’s going on at Nextiva, check us out on Instagram, Instagram (MX), YouTube, LinkedIn, and the Nextiva blog.

Description We are the guardians of the Amazon galaxy. The Account Compliance team strives to ensure that Amazon remains compliant and the cost of being compliant is never the reason where the business or our sellers cannot scale. Our diverse team innovates on behalf of their customers to build a trusted marketplace through best-in-class compliance products. With hundreds of millions of customers around the world depending on our products & services, our systems form the tip of the spear against bad actors. These actors might abuse Amazon products and undermine customer faith, so our success comes from identifying & removing them while delivering best-in-class customer experiences for the good actors and strategic customers. We’re creating the most trusted store on earth, enabling Amazon to innovate at scale, and supporting our customers to launch & grow their business faster than anywhere else in the world. As a Software Development Engineer in the account compliance team, you will design and build software that 1) is extensible to different use cases, products, and geographies with almost zero incremental tech effort, 2) can trigger verifications that are necessary under applicable policies, 3) can store verification decisions for re-use to reduce duplicative checks; and (5) is vendible to any authorized user via API. The software is smarter than the smartest bad actors in the world to protect the store from illegal activities at scale. Amazon's scale means that you'll be designing and developing custom distributed systems more advanced than those used in standard industry practices. These data-centric systems need to detect patterns across Amazon's huge customer population as they happen and be adaptive so that they can detect new modus operandi as they develop. Lastly, they need to be highly available, low latency, high quality systems. If this sounds interesting to you, then apply and find out more! Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3001960

Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms. In this hybrid role, you will report to a Hardware Engineering Manager. You Will Perform DDR, LPDDR, HBM, and other advanced DRAM subsystem bring-up, validation, and characterization Collaborate with DV and emulation teams in the pre-silicon phase, and create post-silicon test plans Characterize and optimize the memory subsystem performance under concurrent and stress workload Spearhead the silicon debug efforts related to DRAM controller, PHY, and DRAMs Engage and assist in defining the manufacturing tests (BIST, ATE, SLT) You Have Bachelor's degree with 5+ years of experience in advanced DRAM memory subsystem Hands-on experience in silicon bring-up, functional validation, characterization, and performance optimization related to memory subsystem Experience in generating memory stress content or patterns Experience in silicon debug involving memory subsystem Knowledge in JEDEC spec of DDR/LPDDR/HBM Knowledge of SoC architecture, memory subsystem, NoC We Prefer Experience in DRAM firmware, init and training sequence Experience in pre-silicon verification and emulation, integrate VIPs in testbench Familiar with the lab equipment for bring-up, validation and debug Proficiency in at least one of the programming or scripting languages: C/C++, Python The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range ₹5,200,000—₹6,300,000 INR

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation -GenAI/Agentic – Manager We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills requirements 9 to 13 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation .- Must Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP. -Must Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI .(Agentic Framework) Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility)-Good to have Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

JOB DESCRIPTION If you're ready to lead with ownership and precision, and have a knack for turning vision into reality, we want to hear from you! Unleash your passion for product innovation by spearheading customer-centric development, inspiring groundbreaking solutions, and shaping the future with your strategic vision, influence and execution! The Home Lending Data Testing team provides centralized prioritization, planning, design, execution leadership, and support for large, complex, technology-dependent data programs across the Home Lending organization. As a key driver in the project delivery lifecycle, this team partners across CCB and the JPMC Enterprise to define strategies and approaches for testing Home Lending Data initiatives, as well as setting and stewarding sound UAT Management methodologies. As a P roduct Manager in Home Lending , you will lead a team of automation engineers, partnering with product owners, supporting technology teams, and testing transformation to contribute to the strategic data automation planning and tactical build/execution of data testing across a diverse application suite. Job responsibilities Lead, mentor, and inspire a team of data automation engineers and leads across multiple domains and source systems, fostering a culture of innovation and excellence. Design and develop high-volume, low-latency tools to support the testing of Home Lending applications. Own and guide the modernization of our automation framework, including the migration of legacy/local scripts to AWS, and enabling cloud-based test execution and monitoring. Build self-service automation insight reporting (in AWS or tools like Tableau) to provide visibility and business impact. Ensure seamless code integration into Home Lending Tech's CI/CD build and deploy pipelines. Define and document automation-focused test strategies for products and applications. Drive continuous improvement by exploring innovative solutions for design review and implementation. Implement ideas from concept through to execution, including root cause analysis. Manage timelines, dependencies, and resources while liaising with stakeholders and functional partners. Conduct market research and competitive analysis to identify opportunities for differentiation and innovation Build and implement architectural designs that enhance testing processes. Required qualifications, capabilities, and skills Proven experience leading automation engineering teams. and experience migrating automation scripts to cloud platforms Advanced expertise in designing and deploying scalable systems on AWS (AWS Cloud Practitioner Certification required). Certified ScrumMaster (CSM) or equivalent Agile certification, demonstrating understanding of Agile methodologies. Strong understanding of the Software Development Life Cycle, contributing to all phases. Strong hands-on experience with databases (Oracle, MySQL, SQL Server) and proficiency in writing queries. Strong hands-on experience with functional testing automation tools (Selenium, Java, Cucumber, Python) and test automation frameworks (Selenium, PyTest, Java, Python, PySpark, etc.). Strong experience with data quality testing and working across multiple systems of record (Encompass, MFTS, Federated, etc.). Deep understanding of customer needs and pain points, using insights to guide product development and prioritize high-value features. Proficiency in data analytics to inform product decisions and improve user experience and business outcomes. Strong collaboration skills with engineering, design, and business teams, effectively communicating product goals and progress to stakeholders. Excellent organization and time management capabilities.Ability to coach and mentor team members with a mindset of curiosity, ownership, and accountability. Preferred qualifications, capabilities, and skills A passion for storytelling with data, and translating automation results into business insights. Previous experience in user experience design and solution design Proficient in Figma, JIRA, JIRA Align, Excel, PowerPoint, Process Mapping Tools.AWS experince preferred Knowledge of cloud-native CI/CD workflows using tools such as Jenkins, AWS CodePipeline, or similar. Proficiency in Jira, Confluence, and agile tools for tracking and collaboration. Familiarity with data visualization tools (Tableau, Alteryx, QuickSight) is a plus. Bachelor's Degree in Computer Science, Information Technology, or a related field. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Job Title : Engineering Manager (Java17 / Spring Boot, AWS) – Remote Leadership Role Location : Remote Employment Type : Full-time Shift time : 12:00 noon to 09:00 pm IST Experience : 8-12 Years About Company : We offer the most accurate company and contact data on the market. Our unique approach to data collection, enhancement, verification and growth solidifies our position as the best B2B data partner to revenue teams. We're looking for a passionate and technically adept leader with a deep understanding of modern software development to join our leadership team and guide two critical teams: Market Positioning Team: This team owns the development of features and functionalities that define our unique market position and drive user adoption. Integrations Team: This team tackles the challenge of seamless integration with our ecosystem of partners and third-party applications. As Engineering Manager, you'll wear many hats. You'll be a coach, mentor, and technical leader, guiding your teams to achieve ambitious goals with clarity and vision. You'll set the tone for technical excellence, collaboration, and a culture of continuous learning. About the Opportunity: We’re looking for an Engineering Manager to guide our micro-service platform and mentor a fully remote backend team. You’ll blend hands-on technical ownership with people leadership—shaping architecture, driving cloud best practices, and coaching engineers in their careers and craft. Key Responsibilities: 1. Architecture & Delivery : Define and evolve backend architecture built on Java 17+, Spring Boot 3, AWS (Containers, Lambdas, SQS, S3), Elasticsearch, PostgreSQL/MySQL, Databricks, Redis etc... Lead design and code reviews; enforce best practices for testing,CI/CD, observability, security, and cost-efficient cloud operations. Drive technical roadmaps, ensuring scalability (billions of events, 99.9%+ uptime) and rapid feature delivery. 2.Team Leadership & Growth Manage and inspire a distributed team of 6-10 backend engineers across multiple time zones. Set clear growth objectives, run 1-on-1s, deliver feedback, and foster an inclusive, high-trust culture. Coach the team on AI-assisted development workflows (e.g., GitHubCopilot, LLM-based code review) to boost productivity and code quality. 3.Stakeholder Collaboration Act as technical liaison to Product, Frontend, SRE, and Data teams, translating business goals into resilient backend solutions. Communicate complex concepts to both technical and non-technical audiences; influence cross-functional decisions. 4.Technical Vision & Governance Own coding standards, architectural principles, and technology selection. Evaluate emerging tools and frameworks (especially around GenAI and cloud-native patterns) and create adoption strategies. Balance technical debt and new feature delivery through data-driven prioritization. Required Qualifications: 8+ years designing, building, and operating distributed backend systems with Java & Spring Boot Proven experience leading or mentoring engineers; direct people-management a plus Expert knowledge of AWS services and cloud-native design patterns Hands-on mastery of Elasticsearch, PostgreSQL/MySQL, and Redis for high-volume, low-latency workloads Demonstrated success scaling systems to millions of users or billions of events Strong grasp of DevOps practices: containerization (Docker), CI/CD (GitHub Actions), observability stacks Excellent communication and stakeholder-management skills in a remote-first environment Nice-to-Have: Hands-on experience with Datadog (APM, Logs, RUM) and a data-driven approach to debugging/performance tuning Startup experience—comfortable wearing multiple hats and juggling several projects simultaneously Prior title of Principal Engineer, Staff Engineer, or Engineering Manager in a high-growth SaaS company Familiarity with AI-assisted development tools (Copilot, CodeWhisperer, Cursor) and a track record of introducing them safely

Job Title : Engineering Manager (Java17 / Spring Boot, AWS) – Remote Leadership Role Location : Remote Employment Type : Full-time Shift time : 12:00 noon to 09:00 pm IST Experience : 8-12 Years About Company : We offer the most accurate company and contact data on the market. Our unique approach to data collection, enhancement, verification and growth solidifies our position as the best B2B data partner to revenue teams. We're looking for a passionate and technically adept leader with a deep understanding of modern software development to join our leadership team and guide two critical teams: Market Positioning Team: This team owns the development of features and functionalities that define our unique market position and drive user adoption. Integrations Team: This team tackles the challenge of seamless integration with our ecosystem of partners and third-party applications. As Engineering Manager, you'll wear many hats. You'll be a coach, mentor, and technical leader, guiding your teams to achieve ambitious goals with clarity and vision. You'll set the tone for technical excellence, collaboration, and a culture of continuous learning. About the Opportunity: We’re looking for an Engineering Manager to guide our micro-service platform and mentor a fully remote backend team. You’ll blend hands-on technical ownership with people leadership—shaping architecture, driving cloud best practices, and coaching engineers in their careers and craft. Key Responsibilities: 1. Architecture & Delivery : Define and evolve backend architecture built on Java 17+, Spring Boot 3, AWS (Containers, Lambdas, SQS, S3), Elasticsearch, PostgreSQL/MySQL, Databricks, Redis etc... Lead design and code reviews; enforce best practices for testing,CI/CD, observability, security, and cost-efficient cloud operations. Drive technical roadmaps, ensuring scalability (billions of events, 99.9%+ uptime) and rapid feature delivery. 2.Team Leadership & Growth Manage and inspire a distributed team of 6-10 backend engineers across multiple time zones. Set clear growth objectives, run 1-on-1s, deliver feedback, and foster an inclusive, high-trust culture. Coach the team on AI-assisted development workflows (e.g., GitHubCopilot, LLM-based code review) to boost productivity and code quality. 3.Stakeholder Collaboration Act as technical liaison to Product, Frontend, SRE, and Data teams, translating business goals into resilient backend solutions. Communicate complex concepts to both technical and non-technical audiences; influence cross-functional decisions. 4.Technical Vision & Governance Own coding standards, architectural principles, and technology selection. Evaluate emerging tools and frameworks (especially around GenAI and cloud-native patterns) and create adoption strategies. Balance technical debt and new feature delivery through data-driven prioritization. Required Qualifications: 8+ years designing, building, and operating distributed backend systems with Java & Spring Boot Proven experience leading or mentoring engineers; direct people-management a plus Expert knowledge of AWS services and cloud-native design patterns Hands-on mastery of Elasticsearch, PostgreSQL/MySQL, and Redis for high-volume, low-latency workloads Demonstrated success scaling systems to millions of users or billions of events Strong grasp of DevOps practices: containerization (Docker), CI/CD (GitHub Actions), observability stacks Excellent communication and stakeholder-management skills in a remote-first environment Nice-to-Have: Hands-on experience with Datadog (APM, Logs, RUM) and a data-driven approach to debugging/performance tuning Startup experience—comfortable wearing multiple hats and juggling several projects simultaneously Prior title of Principal Engineer, Staff Engineer, or Engineering Manager in a high-growth SaaS company Familiarity with AI-assisted development tools (Copilot, CodeWhisperer, Cursor) and a track record of introducing them safely