4639 Latency Jobs - Page 7

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview: The Equities Cash Trading Technology team support the Electronic Trading business in the Global Markets and Investment Banking Group. The team provides innovative solutions for low touch trading, which includes FIX connectivity, low latency market connectivity, smart order routing, algorithmic trading and internal crossing. Equities Cash Trading Technology is a global team with a strong presence in every region (AMRS, EMEA and APAC). We aim to maintain a global perspective while recognizing and responding to specific regional requirements that make each market unique. The team is a vibrant mix of experienced developers, business analysts, program managers and QA experts working closely with the business group. The team supports an existing fully featured Electronic Trading product set and is also looking to build the next generation Electronic Trading platform. The next generation program is a sizeable investment in ensuring that the business is ready for handling higher volumes of market data and customer flow efficiently. Job Description This role is as a core senior C# developer. The team is working on a business-critical web based platform providing configuration and client preference data management for the electronic trading business globally. Responsibilities: Analysis, design and development web applications built with the latest technologies. Full stack proven experience is required Dealing directly with business users (Trading and Sales teams) Liaising directly with 3rd line support teams to diagnose and fix issues Bug fixing legacy web applications Mentor junior members of the team Collaborate with his peers globally and influence the technical direction Requirements: Education: B.E./ B. Tech/M.E./M. Tech/BSC/MSC/BCA/MCA (prefer IT/CS specialization) Certifications If Any: NA Experience Range: 6-8+ years Foundational Skills: Specifically, the following skills are required: Visual Studio 2019+ C#, .NET 4.7+ ASP.NET MVC 4+ & Web API 2+ SPA Development HTML5 & CSS3, LESS\SASS JQuery, KnockoutJS, RequireJS SQL (Oracle\SQL Server\DB2) ADO.NET, nHibernate, Entity Framework DI Frameworks (Unity, Castle, Ninject) Development practices - Must be able to use test driven development tools: Strong OO concepts. SOLID principles C# and JS Unit Testing frameworks (NUnit, QUnit, Jasmine, Mocha) Mocking frameworks (Moq\RhinoMocks\SinonJS) Should have experience with SVN/GIT, TeamCity/Jenkins and agile (scrum) practices. Team Player - Must be able to work with other members, mentor junior members and work with the global team Good communication Desired Skills: Business Knowledge – Understanding of equities markets and electronic trading Front office experience Knowledge of FIX (heart beating, login, sequence numbers, message types etc) Knowledge of Message Bus Technologies Knowledge of the following: Behaviour Driven Development (BDD) with SpecFlow Javascript ES2015+, Babel NodeJS, Bower, Grunt\Gulp Angular, React, Ember HTML\CSS frameworks - Bootstrap, Foundation Work Timings: 11:30 AM to 8:30 PM) Job Location: Mumbai/Hyderabad/Gift City/Chennai

3+ years of hands-on experience in performance testing and engineering. Strong hands-on expertise with performance testing tools: JMeter, Gatling, k6, LoadRunner, Octoperf, BlazeMeter, or similar. Proficiency in analyzing application performance metrics (APM tools like New Relic, Dynatrace, Grafana, Prometheus, etc.). Solid understanding of HTTP, REST APIs, web architecture, databases, and caching mechanisms. Ability to analyze performance metrics like throughput, latency, response time, and system utilization.

3+ years of hands-on experience in performance testing and engineering. Strong hands-on expertise with performance testing tools: JMeter, Gatling, k6, LoadRunner, Octoperf, BlazeMeter, or similar. Proficiency in analyzing application performance metrics (APM tools like New Relic, Dynatrace, Grafana, Prometheus, etc.). Solid understanding of HTTP, REST APIs, web architecture, databases, and caching mechanisms. Ability to analyze performance metrics like throughput, latency, response time, and system utilization.

Company Name: Aspirare Communications Pvt Ltd Location: Bangalore, HSR Layout, Sector 7 Job Title: Broadband Support Engineer Employment type: Full Time Salary: 1.5LPA - 2.4 LPA What You can expect at Aspirare: Ø Great fun@work Ø Career Progression purely based on performance Ø Periodical Performance Reward Schemes Ø Great working atmosphere Ø Periodical Staff Meet Parties Ø Wonderful camaraderie at work What's expected of You: • Monitoring and basic troubleshooting also Provide onsite support to NOC team for troubleshooting and installation. • Monitoring all the links using NMS tool, Upon link outage raise the trouble ticket with respective last mile or the service provider. • Co-ordinate with vendor partners for operation and maintenance requirements • Help in installation of WAN devices with guidance of NOC • Interact with vendor partners from client site for trouble shooting vendor related issue. • Provide hands and eye support to NOC during any NOC related activities. • Proactive monitoring the network utilization and the performance and provide regular inputs to sales and ensure quality of service delivery in terms of throughput latency and reliability • Co-ordinate with Regulatory coordinator for providing timely inputs for compliance related report collection. • Functional support to NoC team for data compilation and reporting • Update customer database in the format and share the same within the NOC Team • Escalate internally and externally to handhold the customer till the services are restored including periodical communication to stakeholders over whatsapp and Email • Perform other tasks as requested by the Lead/Management. Recruitment Method: Three Round of Interviews, shortlisting by HR after an initial HR Round, Hiring Manager or Network Manager Mode of Interview • HR Round • Telephonic • F2F Round

About This Role Job Purpose: The GIO Cash Operations Team is a dedicated group of professionals who ensure that all BlackRock cash & events data are accurate for critical processes including investment management, analytics, compliance, and regulatory. Our team provides information services and solutions in support of all BlackRock and BlackRock Solutions businesses. The roles and responsibilities will include actively managing risk and exposure for BlackRock by ensuring the investment book of record reconciled with external providers daily. The role requires an understanding of the mechanics of the reconciliation process, exception management, troubleshooting issues, driving innovative enhancements, data analysis, maintaining documentation, assisting management in leading processes, and recommending improvements to ensure efficiency. Possess solid understanding of Trade life cycle. Comprehension of Cash management operations & OD tracking, differential treatments on Corporate actions as per market products of Fixed Income/Equity is important. Understand the role of external parties involved Custodian/Brokers/Market Data providers etc. Key Responsibilities Ensure reconciliations are effectively completed and troubleshoot any discrepancies, ensure accuracy of published cash. Review cash & income exceptions daily including researching differences, resolving them in an accurate and timely manner. Tasks and their procedures to be accurately followed resulting in appropriate exception investigation and assignment (internal or external) including all follow-ups until the exceptions are resolved. Ensure appropriate escalation protocols are followed, and we are intensifying timely in alignment with increasing age / risk. Establish stake-holder ownership - coordinating with up/down stream teams for Income & Cash exception mgmt. Leading the conversation, formulating plan of action and follow through on action points. Document and provide feedback for custodian/Broker reviews. Push for better service and data and hold our providers accountable to deliver. Escalation to Management for issues that need focus / remediation or if meeting engagement do not meet standards. Instances of delayed reporting, lack of conformity to set standard, latency in response time, delaying exception resolution should be tracked by stake-holder owner and shared on timely intervals. Demonstrate understanding of how daily activities impact KRI volumes and what criteria deems an exception to be high risk and controllable. Be able to articulate impact on the KRIs and quantify how to positively contribute to the numbers through both quantitative and qualitative analysis. Consistent, concise MI to be provided to appropriate audience. Agenda points to be communicated prior to each call with metrics produced to show progress and takeaways aligned with the frequency of the stake-holder engagement. Participate in various efficiency and capacity-building initiatives, including automation/ standardization efforts. Review available data reports and look out for trends/activities currently performed manually that can be proposed for enhanced auto match/auto post/autocode rules, also should know methods that will help quantify the impact of proposed automation. Identifying, leading and mitigating operational risks. Raising risk and service issues on a timely basis, ensure issues are called out to management have been properly researched and reviewed. This includes providing details around investigation/steps taken so far, demonstration of engagement with relevant stake-holders and suggesting potential paths to resolution. Understand and adhere to all regulatory requirements impacting the reconciliation process. Understand upstream processes impactful to the reconciliation and develop ability to correlate the effect of change. Qualifications Understanding of financial instruments with an emphasis across asset classes is preferred. Strong, effective analytical and problem-solving skills. Data Analytics skills preferred including exposure to SQL/VBA/ PYTHON and/or understanding of data science methods & implementation. Organized approach to ensure follow up on outstanding issues and identify appropriate action to be taken. Attention to detail to ensure a high degree of accuracy for all deliverables Excellent verbal, written and communication skills including ability to clearly articulate results of financial analyses as wells as issues to senior management and external parties; Ability to multi-task and balance requests without losing sight of overall objectives and deadlines. Exceptional decision-making skills and ability to communicate effectively with senior management. Ability to work in a team environment and build strong relationships with colleagues and external contacts. Ability to work in a fast paced, rapid changing, deadline driven environment with minimal supervision. Proficient in Microsoft Office products, emphasis on Excel Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

Job Description Job Purpose At ICE, we are on a mission as a team. We are problem solvers and partners, always starting with our customers’ needs, working to solve their challenges and create opportunities. Our start-up roots are ingrained on our corporate culture - nimble, flexible and fast moving. We take ownership and make decisions. We all work for one company and work together to drive growth across the business. We take pride in what we do, acting with integrity and passion, driving continuous improvement so our customers can perform better. We are experts and enthusiasts - combining ever-expanding knowledge with leading technology to consistently deliver results, solutions and opportunities for our customers and stakeholders. Every day we work toward transforming global markets. ICE Data Services is seeking a dynamic Application Support Specialist to join our Hyderabad based team. This client-facing position entails assisting with deployments, configurations and management of our mission critical software. The successful candidate will possess a natural disposition towards customer service and demonstrate a strong aptitude for technical troubleshooting, along with a general knowledge of IT and financial markets. In this role, you will represent ICE Data Services while collaborating with internal stakeholders, providing continuous support to the clients and manage ICE’s data feed infrastructure. This position offers the opportunity to acquire in-depth technical knowledge of premier market data solutions and offers exposure to the finance and technology business sector. Responsibilities Must be prepared to work during non-standard working hours including weekends to support global stakeholders and clients. Configuring, installing, and testing ICE server software. Research, diagnose problems and communicate solutions to internal stakeholders and clients. Maintain regular contact with internal stakeholders to ensure we provide exceptional customer support. Ownership for issues, show empathy, and regular status updates of all open requests. Provide exceptional customer service by resolving client enquiries by email, phone, and web chat. Troubleshoot technical issues within our data distribution system. Typical technical inquiries include resolving client disconnections, investigating network drops, analyzing market data delays/latency, and answering API usage questions. Lead regular support calls and ad-hoc escalations with internal stakeholders. Develop a deep understanding of ICE Data Services products, IT architecture and customer base. Knowledge And Experience BCA / MCA / BCS / MCS / BE / B. Tech / Any other bachelor’s or master’s degree in computers and technology. 3+ years of relevant experience. Knowledge of Unix, Linux, Unix power tools, Unix scripting, Networks and core computing concepts. Troubleshooting and problem solving. Experience in a client-facing role handling high-stakes issues that require accuracy, and tact is an added advantage. Commitment to customer service excellence, characterized by helpfulness, reliability, attention to detail, and professionalism. Excellent communication skills, both written and oral, capable of effectively engaging with diverse audiences and contexts (e.g., internal vs. external, trading clients vs. data analytics firms). Natural aptitude for analysis and technical troubleshooting, demonstrating logical thinking and a methodical approach to problem-solving. Excellent organizational skills to effectively manage workload and handle multiple assignments in parallel.

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About the Role: ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Responsibilities: Part of a team (BA/PO, Developers, SDETs etc) that develops enterprise software applications. Understand the business requirements and design, development/coding aspects. Participate in the complete development life cycle. Design and Implement test strategy, test plan, test cases, test automation and execution. Focus on validating the functionality, performance and reliability of AI/ML models. Evaluate various aspects of AI/ML models, including functionality, performance, accuracy, bias, robustness and safety. Track model performance, identify issues and provide regular reports on quality and reliability Craft and refine the prompts or instructions to guide, develop the Generative AI models Strive for self-excellence along with enabling success of the team/stakeholders. Requirements: 2 to 6 years of experience with enterprise software product development lifecycle/phases. Blend of software testing experience with strong knowledge of AI/ML concepts, tools, frameworks. Strong understanding of Generative AI model algorithms, training and deployment processes. Experience in evaluating model performance using metrics like Accuracy, Precision, Recall, F1-Score, Latency, Stress etc Experience in prompt engineering and assessing models for bias, fairness and ethical concerns. Experience in validating data quality and integrate throughout the model development lifecycle. Experience in crafting and refining prompts to guide Large Language Models (LLM) and Small Language Models (SLM) Experience in Python programming and tools like OpenAI, TensorFlow, PyTorch, DialogFLow etc. Experience in integrating testing processes into CI/CD pipelines. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

Job Description Designation and SRF Name- Technical CX Consultant role Role- Permanent/ Full time Panel and Hiring Manager- Sanjay Pathak Experience- 8-12 years relevant experience Location- Noida/ Gurgaon/ Pune/ Bangalore Shift- 12PM to 10PM (10 Hours Shift. Also depends on the project/work dependencies) Working Days- 5 days Work Mode- Hybrid Job Description: Highly skilled CX Consulting with deep expertise in CCaasS, Integrations, IVR, Natural Language Processing (NLP), Language Models, and scalable cloud-based solution deployment. Skills Technical Expertise: Having a deep understanding of Conversational AI, Smart Agent Assist, CCaaS and their technical capabilities. Stay current with industry trends, emerging technologies, and competitor offerings. Customer Engagement: Engage with prospective clients to understand their technical requirements and business challenges. Conduct needs assessments and provide tailored technical solutions. Solution Demonstrations: Deliver compelling product demonstrations that showcase the features and benefits of our solutions. Customize demonstrations to align with the specific needs and use cases of potential customers. Strong NLP and Language Model fundamentals (e.g., transformer architectures, embeddings, tokenization, fine-tuning). Expert in Python, with clean, modular, and scalable coding practices. Experience developing and deploying solutions on Azure, AWS, or Google Cloud Platform. Familiarity with Vertex AI, including Model Registry, Pipelines, and RAG integrations (preferred). Experience with PyTorch, including model training, evaluation, and serving. Knowledge of GPU-based inferencing (e.g., ONNX, Torch Script, Triton Inference Server). Understanding of ML lifecycle management, including MLOps best practices. Experience with containerization (Docker) and orchestration tools (e.g., Kubernetes). Exposure to REST APIs, gRPC, and real-time data pipelines is a plus. Degree in Computer Science, Mathematics, Computational Linguistics, AI, ML or similar field. PhD is a plus. Responsibilities Consulting and design end-to-end AI solutions for CX. Consulting engagement of scalable AI services on cloud infrastructure (Azure/AWS/GCP). Collaborate with engineering, product, and data teams to define AI-driven features and solutions. Optimize model performance, scalability, and cost across CPU and GPU environments. Ensure reliable model serving with a focus on low-latency, high-throughput inferencing. Keep abreast of the latest advancements in NLP, LLMs, and AI infrastructure.

We are looking for a Senior Performance Analyst to enhance our performance testing capabilities. As a Senior Performance Analyst, you will play a crucial role in designing and executing performance tests. You will collaborate with cross-functional teams to optimize performance and drive the resolution of issues. Your insights will help shape our technology landscape and prepare us for future growth. If you are passionate about performance testing and eager to take on new challenges, we encourage you to apply. Responsibilities Design, configure, and execute performance tests and drive resolution of failures Create performance measurements such as requests per second, P95 and P99 response latency, query performance, concurrency, and system utilization Dig into Java code, databases, middleware, and vendor software to identify performance bottlenecks and resolve them Improve the performance environment with your own code, automation, and external tools Utilize technical expertise to coach and develop junior engineers Deliver presentations to stakeholders sharing results and insights Requirements 5-10 years of experience in performance testing Strong software engineering background with Java Spring Boot framework Experience debugging performance issues using APM tools (e.g., Dynatrace, Splunk, JProfiler, and JMH) Proficiency in optimizing database queries in PostgreSQL and Oracle Capability to write jMeter scripts and utilize load generation tools like BlazeMeter Background in the Payments industry, including familiarity with ISO 8583 messaging, the 4-party model, and payment applications Systematic problem-solving approach coupled with strong organizational and communication skills Self-motivation with a high level of attention to detail and the ability to work independently with minimal supervision Capability to manage time and projects effectively, share knowledge with peers, and adapt to new learning opportunities Demonstrated appetite for innovation and adaptability to changing technologies, practices, and operational challenges Nice to have Certifications in performance testing methodologies Experience with additional performance testing tools

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 Senior Software Engineer Overview This contractor position is on Mastercard’s performance engineering team working closely with the other Authorization development teams. You will have the chance to use and improve a suite of tools to assess transaction time each release. We are looking for engineers that are passionate about performance and development with a constant focus on improving quality. All About You Have you created many scripts to automate and interface with programs (i.e. shell script, TCL, Perl, Python)? Do you understand throughput, latency, memory, and CPU utilization? Have you spent significant time in Linux environments with some experience administrating? Have you developed software before – preferably in C/C++? Do you know about different inter-process communications (i.e. shared memory, MQ, Kafka)? Do you have experience and prefer working in an Agile environment? Have you worked with big, real-time, and distributed systems? Design, configure, and execute performance tests Work closely with software development teams to identify risks and anticipate problems to ensure that each release does not negatively impact performance Improve the current performance environment with your own code, automation, and onboarding of external tools (i.e. Dynatrace and Splunk) Drive performance issues to resolution 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-252723

We are looking for a Senior Performance Analyst to enhance our performance testing capabilities. As a Senior Performance Analyst, you will play a crucial role in designing and executing performance tests. You will collaborate with cross-functional teams to optimize performance and drive the resolution of issues. Your insights will help shape our technology landscape and prepare us for future growth. If you are passionate about performance testing and eager to take on new challenges, we encourage you to apply. Responsibilities Design, configure, and execute performance tests and drive resolution of failures Create performance measurements such as requests per second, P95 and P99 response latency, query performance, concurrency, and system utilization Dig into Java code, databases, middleware, and vendor software to identify performance bottlenecks and resolve them Improve the performance environment with your own code, automation, and external tools Utilize technical expertise to coach and develop junior engineers Deliver presentations to stakeholders sharing results and insights Requirements 5-10 years of experience in performance testing Strong software engineering background with Java Spring Boot framework Experience debugging performance issues using APM tools (e.g., Dynatrace, Splunk, JProfiler, and JMH) Proficiency in optimizing database queries in PostgreSQL and Oracle Capability to write jMeter scripts and utilize load generation tools like BlazeMeter Background in the Payments industry, including familiarity with ISO 8583 messaging, the 4-party model, and payment applications Systematic problem-solving approach coupled with strong organizational and communication skills Self-motivation with a high level of attention to detail and the ability to work independently with minimal supervision Capability to manage time and projects effectively, share knowledge with peers, and adapt to new learning opportunities Demonstrated appetite for innovation and adaptability to changing technologies, practices, and operational challenges Nice to have Certifications in performance testing methodologies Experience with additional performance testing tools

Role : Principal Kubernetes Infrastructure Engineer Duration : 6 months Work Mode : Remote Budget : 1.5 L PM Scope : We’re looking for a Rancher Kubernetes expert to lead the design, automation, and reliability of our on-prem and hybrid container platform. Sitting at the intersection of the Platform Engineering and Infrastructure Reliability teams, this role owns the lifecycle of Rancher-managed clusters—from bare-metal provisioning and performance tuning to observability, security, and automated operations. You’ll apply SRE principles to ensure high availability, scalability, and resilience across environments supporting mission-critical workloads. Core Responsibilities: Platform & Infrastructure Engineering Design, deploy, and maintain Rancher-managed Kubernetes clusters (RKE2/K3s) at enterprise scale. Architect highly available clusters integrated with on-prem infrastructure: UCS, VxLAN, storage, DNS, and load balancers. Lead Rancher Fleet implementations for GitOps-driven cluster and workload management. Performance Engineering & Optimization Tune clusters for high-performance workloads on bare-metal hardware , optimizing CPU, memory, and I/O paths. Align cluster scheduling and resource profiles with physical infrastructure topologies (NUMA, NICs, etc.). Optimize CNI, kubelet, and scheduler settings for low-latency, high-throughput applications. Security & Compliance Implement security-first Kubernetes patterns: RBAC, Pod Security Standards, network policies, and image validation. Drive left-shifted security using Terraform, Helm, and CI/CD pipelines; align to PCI, FIPS, and CIS benchmarks. Lead infrastructure risk reviews and implement guardrails for regulated environments. Automation & Tooling Build and maintain IaC stacks using Terraform, Helm, and Argo CD. Develop platform automation and observability tooling using Python or Go Ensure declarative management of infrastructure and applications through GitOps pipelines SRE & Observability. Apply SRE best practices for platform availability, capacity, latency, and incident response. Operate and tune Prometheus, Grafana, and ELK/EFK stacks for complete platform observability. Drive actionable alerting, automated recovery mechanisms, and clear operational documentation. Lead postmortems and drive systemic improvements to reduce MTTR and prevent recurrence. Required Skills · 7+ years in infrastructure, platform, or SRE roles · Deep hands-on experience with Rancher (RKE2/K3s) in production environments · Proficient with Terraform, Helm, Argo CD, Python, and/or Go · Demonstrated performance tuning in bare-metal Kubernetes environments (UCS, VxLAN, MetalLB) · Expert in Linux systems (systemd, networking, kernel tuning), Kubernetes internals, and container runtimes · Real-world application of SRE principles in high-stakes, always-on environments · Strong background operating Prometheus, Grafana, and Elasticsearch/Fluentd/Kibana (ELK/EFK) stacks Preferred Qualifications · Experience integrating Kubernetes with OpenStack and Magnum · Knowledge of Rancher add-ons: Fleet, Longhorn, CIS Scanning · Familiarity with compliance-driven infrastructure (PCI, FedRAMP, SOC2) · Certifications: CKA, CKS, or Rancher Kubernetes Administrator · Strategic thinker with strong technical judgment and execution ability · Calm and clear communicator, especially during incidents or reviews · Mentorship-oriented; supports team learning and cross-functional collaboration · Self-motivated, detail-oriented, and thrives in a fast-moving, ownership-driven culture

This role is for one of Weekday's clients Min Experience: 2 years Location: Remote (India) JobType: full-time Requirements About the role We are seeking a talented Gen AI Developer with at least 2 years of experience in NLP and Generative AI development. You'll work on building and enhancing AI-driven features - chatbots, QA agents, and smarter reporting assistants - using tools like LangGraph, LangChain, OpenAI, and Hugging Face. Experience in Django-based chatbot deployment and programmatic marketing is a strong plus. Responsibilities: Design, develop, and deploy NLP and generative AI models using LangGraph, LangChain, OpenAI GPT series, and Hugging Face Transformers Integrate AI workflows to power conversational agents for campaign QA, reporting prompts, and performance recommendations Collaborate with product and data teams to embed GenAI features into AtomicAds' core platform Build and maintain chatbot solutions using Python and Django for user interactions and dashboard integrations Optimize AI pipelines for scalability, latency, reliability, and cost-efficiency Implement model monitoring and evaluation tools to ensure performance and fairness Ensure secure, compliant deployment of models and APIs Maintain clear documentation, testing strategies, and version control Requirements: Experience: Minimum 2 years in NLP and GenAI development Technical Skills: Proficient in Python, with deep experience in AI frameworks: LangGraph, LangChain, OpenAI API, Hugging Face. Hands-on experience building chatbot/service layers using Django or similar Python web frameworks AI Competency: Strong grasp of LLM architectures, prompt engineering, model fine-tuning, and evaluation Software Engineering: Demonstrated ability to write clean, modular, and testable code Collaboration and Communication: Ability to work in small teams, with clear written and verbal communication Bonus: Experience with programmatic advertising, DSPs, or marketing automation Familiarity with cloud platforms (AWS, GCP, Azure) for AI workloads Knowledge of MLOps, Docker, Kubernetes, or CI/CD pipelines

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end-to-end, simplified solutions. The CISO organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Security boundaries have changed, and identity is the new perimeter. With such a shift, there is a strong emphasis on carefully analyzing, and in many cases, hitting Refresh on the components that comprise the enterprise identity and access management platforms as we know them. Microsoft is seeking an identity and security focused engineer to join the CISO organization as we undergo the journey to ensure that the right identities get access to the right resources at the right time, protected each step of the way. With your experience in Microsoft Entra ID and Identity & Access Management technologies, you will help steer our own identity-centric digital transformation and support hundreds of thousands of employees as they seek to empower every person on the planet to accomplish more. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Leverages end-to-end technical expertise in large-scale distributed systems' infrastructure, code, inter- and intra-service dependencies, and operations to enhance the reliability, performance, efficiency, latency, and scalability of services and products operating proactively and continuously at scale. Develops code, scripts, systems, and/or tools to automate complex and repetitive tasks, enhance operational efficiency. Empowers cross-service engineering teams to safely deploy changes to production at increased speed and monitors the effects of changes across systems, services, and products. Designs, implements, and manages Azure IAM solutions ensuring secure and efficient access to resources and applications. Develops IAM policies, procedures, and best practices aligned with organizational security requirements and compliance standards. Collaborates with internal stakeholders to translate business requirements into effective IAM solutions, providing engineering and operational support for a customer-centric Identity platform, with demonstrated expertise in Azure, Identity, and Access Management technologies, including SaaS, Single Sign-On, and Multifactor Authentication solutions. Partners with engineering teams and stakeholders understand requirements and translate them into actionable projects embodying SRE principles and efficient technical solutions. Qualifications 5 years of expert-level knowledge on identity technologies including Microsoft Entra IDAzure Active Directory, Active Directory, Federation Services, and Credential management, with proven experience in large-scale Identity management. Proven experience in automation using Azure technologies/platform and/or strong proficiency in PowerShell/Scripting. Experience in leveraging AI technologies to solve problems will be an added advantage, Demonstrated experience in supporting engineering and Multi-Factor Authentication, with a focus on maintaining Live Site operations and delivering exceptional customer service. Extensive troubleshooting and debugging experience, coupled with the ability to understand and reason about interactions between complex systems. Solid understanding of monitoring, alerting, and observability philosophies and best practices, along with the ability to analyze, decompose, design, and integrate systems or system architectures. Collaborative mindset with the ability to exercise cross-team cooperation and influence, while maintaining empathy for customers and partners and keeping a higher-level perspective. Familiarity with Agile, SDL & SRE principles, Phish resistant certificate-based authentication, and Microsoft Entra ID Multi-Factor Authentication solutions such as Microsoft Authenticator app, Windows Hello for Business, FIDO2 security key, OATH hardware/software token. Experience with Windows Conditional Access policies and multifactor authentication, the ability to analyze problems and make appropriate decisions quickly, drive large, complex programs and solutions, and possess excellent interpersonal and dynamic group skills, along with strong written & verbal communication and presentation abilities. Preferred Qualifications Familiarity with on-prem identity technologies like Active Directory, Microsoft Identity Manager (MIM), GPOs Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Position Title:- Director – Technology Development Skills : Backend Development - Java Experience: Must have 13+ years of industry experience in building low-latency & highly scalable applications with efficiency at core Location: Gurgaon, Bangalore Education: B.E/B.Tech only from good pedigree About us: Nurtured from the seed of a single great idea - to empower the traveller - MakeMyTrip went on to pioneer India’s online travel industry Founded in the year 2000 by Deep Kalra, MakeMyTrip has since transformed how India travels. One of our most memorable moments has been to ring the bell at NASDAQ in 2010. Post-merger with the Ibibo group in 2017, we created a stronger identity and traction for our portfolio of brands, increasing the pace of product and technology innovations. Ranked amongst the LinkedIn Top 25 companies 2018. GO-MMT is the corporate entity of three giants in the Online Travel Industry—Goibibo, MakeMyTrip and RedBus. The GO-MMT family celebrates the compounded strengths of their brands. The group company is easily the most sought after corporate in the online travel industry. Role & Responsibilities: Own end to end full life cycle development and operations of highly scalable platforms/components. Architecting and scaling engineering platform to reduce technical debt and improve performance and agility. Experience with various technology stacks, including web application development, middleware, integration, enterprise architecture. Foster culture of innovation and fast execution, leading by example and hands-on execution. Build best in class data/machine learned algorithms and platforms for solving complex problems. Interface with business & product team to define requirements, deliverables, and provide the necessary engineering expertise & support to ensure on-time delivery of product. Be the technical owner for a set of highly scalable platform components (like Auth & Device-Master platform, AB Experimentation platform, Giftcard etc.,), micro services written in java, frontend applications ( mobile & web ), data related engineering initiatives and many more. Continue to develop and improve delivery processes. Commit to fostering a quality-focused development culture while leading managing a team of engineers, and QA. Lead the talent management effort for Technology, including hiring, developing, training and retaining a best in class team. Requirements: Should be a hands-on technology person with eye for details and scale. Ability to multi task in an ambiguous and very dynamic start-up environment. Must possess traits of thriving to work in a start-up environment. Must have experience in developing applications using multiple stacks. Must have experienced scale in building web applications and SOA (micro services) based large scale setups Proven experience in architecture, design and delivery of data & scale intensive applications. Should be good on coming up with high-level & low-level design for problem statement and defend on design & tech choices. Must have curiosity and passion to solve challenging problems and keeping customer centricity at core. Should have excellent prioritization and project management skills Sound knowledge and experience working in a variety of agile frameworks and project tools (e.g. Atlassian, git) Expert knowledge in language (Java) and web technologies (e.g. JavaScript, CSS, HTML). Experience with modern web UI frameworks (e.g. React, Angular) Experience leading a QA / testing function and developing automation techniques to improve ongoing quality of delivery Experience of building high throughput, low latency web-services over Strings and Binary Protocols. Expert level knowledge of Data Sources from RDBMS to NoSQL ( MySQL, Redis, MongoDB, Cassandra ) Strong knowledge of data structures and algorithms Expertise in Linux. Experience with architecting systems for AWS is a big plus. Experience with web paradigms such as REST, Responsive Web Design, Test-driven Development (TDD), Dependency Injection etc. Understanding of data engineering and machine learning is a plus. Leadership Experience: Strong people management skills – Ability to build high performing teams, mentoring team members, building a strong second line, ability to attract & retain talent. Need to have prior experience in managing team of 30+ people comprising of engineers, leads, engineering managers, etc.

Job Title - Associate Manager/Manager - Marketing & Communications Role Overview - Retention Marketing - Associate Manager / Manager to lead CRM growth across paid channels (SMS, WhatsApp, RCS, and more). This role is pivotal in driving both Visit and Revenue contributions during Sale and BAU (Business-as-Usual) periods, while also spearheading innovation, personalization, and experimentation across CRM touchpoints. The ideal candidate brings strong channel expertise, team management capability, vendor coordination experience, and a passion for driving customer engagement. Knowledge and Skill / Qualification Requirements ● Bachelor degree or PGDM/MBA is a preferred with 4–7 years of experience in Retention/CRM Marketing, ideally in a high-growth B2C or e-commerce environment. ● Strong hands-on knowledge of paid CRM channels: WhatsApp, SMS, RCS; knowledge of automation tools like MoEngage, Clevertap, etc. ● Experience managing a team and working cross-functionally with marketing, category, and product teams. ● Exposure to AI, personalization, or automation within CRM is a strong plus. ● Strong analytical mindset with experience in performance tracking, cohort analysis, and experimentation. Key Responsibilities 1. Revenue & Visit Growth via Paid CRM Channels • Own the performance and growth of CRM paid channels: WhatsApp, SMS, RCS, and future new channels. • Drive and achieve: o 50% growth during Sale Periods – Increase Visit contribution from 2.73% to 4.09%, and Revenue contribution from 4.06% to 6.09%. ▪ Key drivers: 55% growth in WhatsApp, 10% SMS, and 60% RCS. o 25% growth during BAU Periods – Increase Visit contribution from 1.86% to 2.33%, and Revenue contribution from 2.15% to 2.69%. ▪ Key drivers: 33% WhatsApp, 20% SMS, and 40% RCS. • Continuously optimize campaigns for higher engagement and ROI. 2. Team & Channel Ownership • Manage and mentor CRM team members, ensuring: o Balanced ownership of channels and goals across the team. o Active collaboration, transparency, and shared accountability. • Conduct regular working sessions to foster a high-performance and supportive team culture. 3. Vendor & Stakeholder Program Management • Build and manage strong relationships with external vendors to: o Enhance channel features, reduce latency, and optimize deliverability and costs. • Collaborate closely with internal stakeholders – Brand Managers, Category Managers, and Cross-functional teams – to: o Maximize CRM-led visibility and contribution to brand/category growth. o Align CRM efforts with business and marketing objectives. 4. Innovation via AI, Bots & Personalization • Identify and implement opportunities for: o AI-led automation in CRM workflows and campaign optimization. o Expansion of WhatsApp bots and integration of new customer-service touchpoints. o Personalized campaign journeys for users based on behavior, lifecycle, and preferences. • Drive innovation to elevate customer experience and retention impact. 5. Experimental Activations & IP Development • Conceptualize and execute innovative site activation strategies to boost visits and engagement. • Launch and own new CRM-led IPs (intellectual properties) and experiment-based activations. • Foster a test-and-learn environment that pushes creative and performance boundaries.

Job Description Who We Are 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. 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. Want to push the limit of digital possibilities? Start here. What We Do The Commodities business is extremely focused on digitization. This role provides many challenging and rewarding opportunities for the successful candidate. You will partner with engineers, traders, and salespeople to work on brand new projects focused on automation of sales and trading, quoting and trade booking workflows and data platform to systematically consume, ingest, process data and share actionable insights to enable trading decisions, with the latest full stack technologies, Java, Python and GS Proprietary technology (Slang / SecDB), and exposure to build cloud native apps on AWS and other cloud platforms. We are seeking a dynamic, entrepreneurial developer to join the Commodities Technology team and play a key role in execution of a wide range of development projects. Your Impact The team is looking to expand in Bengaluru to work on initiatives for building new and innovative solutions for global commodities trading business. You will work with other engineers and traders to improve all aspects of price-making, risk management and execution. You will have an opportunity to develop a deep understanding of how GS interacts with some of the most dynamic and liquid markets in the world. You will work with some of the best minds in the industry and get an opportunity to interact with global teams to achieve common goals front to back. Basic Qualifications We are looking for a skilled back-end developer with strong communication skills to join our team and help work on key initiatives. We expect you to be a self-starter and eager to solve complex problems with guidance from global peers in the team. Our team promotes a culture of innovation and creative thinking to build modern robust systems. Effectively meeting the demands of our challenging mandate requires a passion for learning as well as deep understanding and experience across a wide array of technical competencies. Bachelor’s / Master’s degree in Computer Science or a closely related field 5-10+ years of experience with programming in any language Ability to quickly learn new languages and technologies Excellent written and verbal communication skills including experience speaking to global engineering and business audience Sound SDLC practices and ability to debug and troubleshoot problems Energetic, self-directed and self-motivated Preferred Qualifications Knowledge of Financial Services and markets are added advantage Goldman Sachs Engineering Culture 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., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

We are seeking a highly experienced Voice AI /ML Engineer to lead the design and deployment of real-time voice intelligence systems . This role focuses on ASR , TTS , speaker diarization , wake word detection , and building production-grade modular audio processing pipelines to power next-generation contact centre solutions , intelligent voice agents , and telecom-grade audio systems . You will work at the intersection of deep learning , streaming infrastructure , and speech/NLP technology , creating scalable, low-latency systems across diverse audio formats and real-world applications. Key Responsibilities: Voice & Audio Intelligence: Build, fine-tune, and deploy ASR models (e.g., Whisper , wav2vec2.0 , Conformer ) for real-time transcription. Develop and finetune high-quality TTS systems using VITS , Tacotron , FastSpeech for lifelike voice generation and cloning. Implement speaker diarization for segmenting and identifying speakers in multi-party conversations using embeddings (x-vectors/d-vectors) and clustering (AHC, VBx, spectral clustering). Design robust wake word detection models with ultra-low latency and high accuracy in noisy conditions. Real-Time Audio Streaming & Voice Agent Infrastructure: Architect bi-directional real-time audio streaming pipelines using WebSocket , gRPC , Twilio Media Streams , or WebRTC . Integrate voice AI models into live voice agent solutions , IVR automation , and AI contact center platforms . Optimize for latency , concurrency , and continuous audio streaming with context buffering and voice activity detection (VAD). Build scalable microservices to process, decode, encode, and stream audio across common codecs (e.g., PCM , Opus , μ-law , AAC , MP3 ) and containers (e.g., WAV , MP4 ). Deep Learning & NLP Architecture: Utilize transformers , encoder-decoder models , GANs , VAEs , and diffusion models , for speech and language tasks. Implement end-to-end pipelines including text normalization, G2P mapping, NLP intent extraction, and emotion/prosody control. Fine-tune pre-trained language models for integration with voice-based user interfaces. Modular System Development: Build reusable, plug-and-play modules for ASR , TTS , diarization , codecs , streaming inference , and data augmentation . Design APIs and interfaces for orchestrating voice tasks across multi-stage pipelines with format conversions and buffering. Develop performance benchmarks and optimize for CPU/GPU, memory footprint, and real-time constraints. Engineering & Deployment: Writing robust, modular, and efficient Python code Experience with Docker , Kubernetes , cloud deployment (AWS, Azure, GCP) Optimize models for real-time inference using ONNX , TorchScript , and CUDA , including quantization , context-aware inference , model caching .  On device voice model deployment. Why join us? Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry. Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development. Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated. Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

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-premises 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 for high availability 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 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 Proficiency in scripting languages such as Bash, Python, or PowerShell for automating tasks and managing infrastructure. Strong background on Linux Experience on Containerisation, Docker, Kubernetes Ability to work effectively in a collaborative, cross-functional team environment. Solid organization, communication and interpersonal skills Prior expertise in any ticketing system like Jira , Servicenow is added value . 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 for high availability 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 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.

Who We Are Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. Visit gomotive.com to learn more. About The Role Motive Technologies is looking for an Engineering Manager, Software (Motive Card), who is passionate about building new product features for Motive Card for upmarket and enterprise fleets which includes Fraud Mitigation. We need an experienced and ambitious leader who can think architecturally, articulate a compelling long-term technical vision, develop and execute realistic implementation plans, and manage our Engineering team. Responsibilities Define and implement a technology vision for building new product features for fleet & driver safety. Manage the product and business outcomes of the engineering team. Develop a long-term product roadmap in collaboration with product teams Drive the execution, launch, and daily operations of functionalities for internal/external customers at consistently high quality, Introduce and continuously evolve cutting-edge development, release, and operations processes Develop, document, and improve best practices and coding standards Hire, manage, and develop a diverse team of highly qualified Engineers. This includes providing expert technical guidance, effective coaching and career development As needed, contribute to development tasks such as coding and feature verifications to assist teams with release commitments, to gain and deepen an understanding of our codebase and business processes Qualifications Bachelors or Masters in Engineering or equivalent experience 8+ years of experience in Software Engineering or related domains Has experience working in high-throughput and low-latency systems 3+ years of experience managing 10+ engineers 5+ years experience in building high-scale distributed systems for a product company Have technical depth and breadth in the following areas: agile product development, distributed systems, infrastructure, cloud computing, build tools, front-end engineering, mobile, QA. Ability to perform architectural work, including the development of technical designs and definition of requirements based on an explanation of business issues experienced by internal/external customers and vendors Proven track record as a nimble and proactive thinker and doer, who thrives in an environment that demands excellence A high degree of comfort with short release cycles, owning the full software lifecycle, and deep experience working on a product for public consumption Passion for continuous experimentation and learning, coupled with a desire to make things run faster, and better Demonstrated success in hiring, managing, motivating, and promoting skilled Engineers An opinion on and a solid understanding of what makes for a strong, healthy, and productive Engineering culture A track record as a strong individual contributor earlier in your career, with continued interest in rolling up your sleeves and pitch in with coding yourself when needed Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. Please review our Candidate Privacy Notice here . UK Candidate Privacy Notice here. The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description Nielsen is seeking an organized, detail-oriented, team player, to join the Engineering team in the role of Machine learning Engineer. Nielsen's Audience Measurement Engineering platforms support the measurement of television viewing in more than 30 countries around the world. The Software Engineer will be responsible for defining, developing, testing, analyze, and delivering technology solutions within Nielsen's Collections platforms. Qualifications Experience having led multiple projects leveraging LLMs, GenAI, and Prompt Engineering. Exposure to real-world MLOps deploying models into production adding features to products. Knowledge of working in a cloud environment. Strong understanding of LLMs, GenAI, Prompt Engineering, and Copilot. Bachelor's degree in Computer Science or equivalent degree. 4+ years of software experience Experience with Machine learning frameworks and models. The ML Engineer is expected to fully own the services that are built with the ML Scientists. This cuts across scalability, availability, having the metrics in place, alarms/alerts in place - and being responsible for the latency of the services. Data quality checks & onboarding the data onto the cloud for modeling purposes. Prompt Engineering, FT work, Evaluation, Data. End-end AI Solution architecture, latency tradeoffs, LLM Inference Optimization, Control Plane, Data Plate, and Platform Engineering. Comfort in Python and Java is highly desirable. Additional Information Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Description Want to be a part of start-up environment within Amazon to design and build a new Fintech Payments product right from the scratch? Want to enable hundreds of millions of Amazon customers to shop on Amazon using next generation credit products? Want to be a part of the team that will enable you to deliver products handling highly sensitive customer data, at high traffic and minimum latency while handling cross-region calls if required? Want to be a part of the team that will enable you to learn latest technologies and skills relevant in the software development industry? Amazon India Emerging Payments team is looking for software developers who are passionate to design and build the next generation Payments product from the ground up. Once built this highly reliable and scalable product will provide a new payment gateway to hundreds of millions of Amazon India customers. The team will require learning and using latest AWS technologies including: AWS Dacia, AWS Kinesis, Lambda, SNS, SQS, Server side encryption on DynamoDB using client managed keys, API Gateways, AWS VPC, AWS NLB, Cloud trail, Elastic search, etc. Additionally the team also provide opportunities to learn and work on Machine learning, interacting and influencing Amazon third party partners like Banks and NBFCs. The platform will be designed to support other emerging economies having similar requirements and the role provides a huge opportunity for the developers to build a strong portfolio of patents for Amazon. Developers in the team need to have a strong understanding of computer fundamentals and preferably experience in building large scale distributed systems. Experience with web-based applications and/or web services-based applications, especially at massive scale, would also be helpful. 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: A3006333

Job Description At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As Senior/Lead Machine Learning Engineer, you will step up and take responsibility to create cutting-edge AI solutions that empower our business while mentoring others and fostering a culture of collaboration and growth. As the sparring partner for your product owners and your Chapter lead, your job is to shape the technical roadmap and contribute to the implementation of best practices both in the product team (“Pod”) you work in and the global Chapter of ML Engineers. You will work with the global Chapter leads, subject matter experts, and other ML Engineers to deliver impactful AI solutions. What you will do Technological Leadership: Define architectural patterns for scalable LLM pipelines, ensuring robust versioning, monitoring, and adherence to best practices. Drive the integration of external knowledge bases and retrieval systems to augment LLM capabilities. Research and Development: Effective RAG architectures and technologies for organizing complex domain-specific data (e.g. vector databases, knowledge graphs) and effective knowledge extraction Explore and benchmark state-of-the-art LLMs, tuning, adaptation, and training for performance and cost efficiency. Incorporate recent trends like instruction tuning, RLHF, or LoRA fine-tuning for domain customization. Embed domain-specific ontologies, taxonomies, and style guides into NLP workflows to adapt models to unique business contexts. Evaluation and Optimization: Analyze models for quality, latency, sustainability metrics, and cost, identifying and implementing improvements for better outcomes. Define and own the ML-Ops for your Pod. Experimentation and Continuous Improvement: Develop experiments for model evaluation and improvement, keeping the solutions aligned with evolving industry standards. Best Practices: Establish scalable coding standards and best practices for maintainable and production-ready systems. Team Support: Mentor ML engineers to foster their personal growth. Qualifications How you will succeed in your role We’re looking for someone who is excited to make an impact and grow with us. While not everyone will have all the qualifications listed, you might be a great fit if you bring some of the following. We’re working with every team member individually to grow according to their needs and abilities. Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Minimum 5 years of experience implementing machine learning projects. At least 2 years in a senior or lead role. Demonstrated expertise integrating modern LLMs into production systems. Leadership skills: Proven leadership in driving technical projects to successful completion in agile environments Strong communication skills to align technical solutions with business goals. Ability to mentor and foster innovation within the team. Technology Skills: LLM and RAG Expertise: Strong expertise in building Retrieval-Augmented Generation (RAG) architectures and integrating with vector and graph databases. Transformer and LLM Architectures: In-depth experience with modern Transformer-based LLMs (e.g., GPT-4, Claude, Gemini, Llama, Falcon, Mistral) Model Performance and Optimization: Demonstrated ability to fine-tune and optimize LLMs for quality, latency, sustainability and cost-effective performance. Programming and NLP Tooling: Advanced Python proficiency and expertise with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain. MLOps and Deployment: Experience with containerization tools (e.g. Docker, Kubernetes) and workflow management tools (e.g. Azure ML Studio, MLFlow) Cloud and AI Infrastructure: Hands-on experience with (preferably Azure) Cloud environments for scalable AI deployment, monitoring, and optimization. Document Intelligence: Document Processing and knowledge extraction tools Databases: Experience with relational (SQL), NoSQL databases Data Platforms: Familiarity with platforms like Snowflake or Databricks Additional Information What defines us : Curiosity, Optimism, Ambition, Empathy Our team at Ramboll Tech is currently on a steep growth trajectory while maintaining a strong team culture. We are curious about other people and their motivations; about new business models and technologies; about each other and the future. We are optimistic, focusing on solutions rather than problems; we plan for success and are willing to take calculated risks instead of playing it safe. We are ambitious, setting our own standards higher than others’ expectations, and we celebrate each other's successes. We are empathetic, taking ourselves, others, and each other seriously without prejudgment, and we help each other and our clients, colleagues, and the world. How we work as a team Our team culture is crucial to us; that's why we take time daily to exchange ideas and discuss our work priorities. We support each other when facing challenges and foster a strong team spirit. We aim to learn and grow continuously from one another. We value diversity, and although we're not perfect, we regularly engage in open discussions about how we can improve in this area. Our current hybrid work approach focuses on adapting to different needs, including increased flexibility that works best for teams and individuals, with as much autonomy as possible. We also meet up in person regularly, such as twice a year at our offsite or during team dinners. Who is Ramboll? Ramboll is a global architecture, engineering, and consultancy firm. We believe sustainable change's aim is to create a livable world where people thrive in healthy nature. Our strength is our employees, and our history is rooted in a clear vision of how a responsible company should act. Openness and curiosity are cornerstones of our corporate culture, fostering an inclusive mindset that seeks new, diverse, and innovative perspectives. We respect and welcome all forms of diversity and focus on creating an inclusive environment where everyone can thrive and reach their full potential. And what does Ramboll Tech do? Ramboll Tech accelerates innovation and digital transformation for the entire Ramboll group and directs all AI-related initiatives within the company. This includes collaborating with markets at Ramboll on their AI projects, as well as working on larger change processes within the corporation and developing proprietary AI products for Ramboll and our clients. Our team currently has over 300 employees from Denmark, Germany, the USA, and India. We are looking to quickly expand in key areas across Europe and the globe. Equality, Diversity, and Inclusion Equality, diversity, and inclusion are at the heart of what we do. At Ramboll, we believe that diversity is a strength and that different experiences and perspectives are essential to creating truly sustainable societies. We are committed to providing an inclusive and supportive work environment where everyone is able to flourish and reach their potential. We also know how important it is to achieve the right balance of where, when, and how much you work. At Ramboll, we offer flexibility as part of our positive and inclusive approach to work. We invite applications from candidates of all backgrounds and characteristics. Please let us know if there are any changes, we could make to the application process to make it more comfortable for you. You can contact us at [email protected] with such requests. Important information We do require a cover letter together with your current CV (preferably without a photo) through our application tool, and we're eager to get to know you better in a conversation. Do you have any questions? Feel free to contact the hiring team through our recruitment tool.

Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description Nielsen is seeking an organized, detail-oriented, team player, to join the Engineering team in the role of Machine learning Engineer. Nielsen's Audience Measurement Engineering platforms support the measurement of television viewing in more than 30 countries around the world. The Software Engineer will be responsible for defining, developing, testing, analyze, and delivering technology solutions within Nielsen's Collections platforms. Qualifications Experience having led multiple projects leveraging LLMs, GenAI, and Prompt Engineering. Exposure to real-world MLOps deploying models into production adding features to products. Knowledge of working in a cloud environment. Strong understanding of LLMs, GenAI, Prompt Engineering, and Copilot. Bachelor's degree in Computer Science or equivalent degree. 4+ years of software experience Experience with Machine learning frameworks and models. The ML Engineer is expected to fully own the services that are built with the ML Scientists. This cuts across scalability, availability, having the metrics in place, alarms/alerts in place - and being responsible for the latency of the services. Data quality checks & onboarding the data onto the cloud for modeling purposes. Prompt Engineering, FT work, Evaluation, Data. End-end AI Solution architecture, latency tradeoffs, LLM Inference Optimization, Control Plane, Data Plate, and Platform Engineering. Comfort in Python and Java is highly desirable. Additional Information Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Chief Technology Officer (CTO) – 1doc Location: Gurugram (India preferred) Type: Full-time | Leadership Role Experience: 8+ years in building scalable tech platforms or operating systems About 1doc OS 1doc OS is not just another software layer — it’s a complete healthcare infrastructure stack powering real-time care, identity-verified access, offline support, AI collaboration, and secure communication across 45+ apps within the 1doc ecosystem. What You’ll Own As CTO of 1doc OS, you will lead the architecture, engineering strategy, and execution of a cloud-first, identity-enforced, communication-enabled operating system for healthcare. You will be responsible for turning bold infrastructure vision into production-level systems. Key Responsibilities Own the technical roadmap and system architecture of 1doc OS Lead multi-layer integration across cloud, edge, IoT, and offline environments Drive system-wide security, identity enforcement, and zero-trust communication protocols Collaborate with AI, product, infra, and app teams to power 45+ connected applications Build and manage a world-class engineering team Ensure reliability, scalability, and low-latency performance across the ecosystem Oversee release cycles, deployment infrastructure, and long-term codebase sustainability Push the boundary on how healthcare infra should operate in developing nations and beyond You Should Have 8+ years of experience building large-scale platforms, OS-level systems, or infra stacks Proven leadership in shipping resilient, modular, and secure architectures Experience with cloud infra (GCP/AWS), real-time systems, APIs, and backend scalability Strong understanding of identity, encryption, and zero-trust systems Prior experience in healthcare, embedded, or multi-modal systems is a big plus Ability to lead deep tech innovation, not just manage tech debt Entrepreneurial mindset — willing to build from scratch and solve for real-world constraints Apply Now: hr@1doc.co Job Type: Permanent Pay: ₹100,000.00 - ₹346,244.30 per month Benefits: Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Joining bonus Overtime pay Performance bonus Yearly bonus Work Location: In person