377 Distributed Systems Jobs - Page 6

You will be part of a dynamic team at JP Morgan Chase, dedicated to providing exceptional value and a seamless experience to customers as a trusted financial institution. Chase UK, our digital banking arm, is at the forefront of transforming the banking experience through intuitive and enjoyable customer journeys. Leveraging the strong foundation of trust built by millions of customers in the US, we are rapidly expanding our presence in the UK and soon across Europe, shaping the bank of the future. This is your opportunity to join us and create a significant impact. Your responsibilities will include delivering end-to-end data pipeline solutions on cloud infrastructure by harnessing the latest technologies and industry best practices. You will utilize domain modeling techniques to develop top-notch business products, structuring software for easy understanding, testing, and evolution. Building solutions that are resilient and scalable, you will focus on developing secure code to safeguard customers and the institution from potential threats. Timely investigation and resolution of issues, along with ensuring zero downtime during releases, will be crucial aspects of your role. Optimizing data processing, monitoring performance, and ensuring reliable and efficient systems operation will also be part of your duties. Continuous learning and updating of technologies and patterns, as well as providing support throughout the product lifecycle, including production and incident management, will be key components of your role. To excel in this role, you should possess formal training or certification in data engineering concepts, along with recent hands-on experience as a data engineer. Proficiency in coding with Python, designing effective tests, and strong written and verbal communication skills in English are essential. Experience with cloud technologies, distributed systems, data transformation frameworks, and data pipeline orchestration tools will be beneficial. Managing large volumes of data, optimizing data processing, and understanding event-based architecture, data streaming, and messaging frameworks are also important skills. Your ability to coach team members, manage stakeholders, prioritize effectively across multiple work streams, and adapt to a fast-paced environment will be valuable. Preferred qualifications include experience in a highly regulated industry, familiarity with AWS cloud technologies, expertise in data governance frameworks, understanding of incremental data processing and versioning, and knowledge of RESTful APIs and web technologies.,

As a Senior Software Engineer at Zendesk Core Services Packaging and Consumption team, you will be a vital part of the team responsible for enhancing the Zendesk purchasing and usage reporting experience. Your role will involve collaborating with product management and engineers to design simple solutions for complex problems. From concept to deployment, you will ensure code quality, debug code, and seek guidance when needed to meet commitments. Your expertise in Ruby with a minimum of 4 years of experience, along with 3+ years of experience in JavaScript, React, and familiarity with JavaScript build infrastructure/tooling like Webpack and Node.js, will be crucial in this role. Additionally, your experience with databases such as MySQL and/or DynamoDB, CI/CD systems like Github Actions, Travis, Jenkins, and knowledge of API design and distributed systems will be highly beneficial. You will actively participate in code reviews, design discussions, and collaborate across teams to standardize and integrate services, libraries, tools, and workflows. Your customer-first mentality in service incident management, data analysis, and root-cause analysis, coupled with a hunger for learning new technologies, will be key assets in this role. Moreover, your team-first collaborative attitude and excellent communication skills will enable you to thrive in our fast-paced agile development environment. Bonus skills include experience working on SaaS-based products and familiarity with the AWS stack, particularly Aurora RDS. Please note that this role requires candidates to be physically located and work from Karnataka or Maharashtra. Zendesk offers a hybrid work experience, combining onsite collaboration with remote work flexibility. By joining our team, you will be part of a company that values inclusivity and offers fulfilling experiences. If you require accommodations due to a disability, please reach out to peopleandplaces@zendesk.com with your specific request.,

You have a Bachelor's degree or equivalent practical experience along with at least 5 years of experience in building integrated systems throughout their lifecycle, including analysis, design, testing, implementation, and support. Additionally, you have 5 years of experience in designing and implementing supply chain systems. You are experienced in Anaplan modeling and integration with other systems, specifically as an Anaplan Model Builder with Business Planning. Your expertise extends to working with web or mobile application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, networking, developing software systems, or security software development. Ideally, you are certified in Anaplan Solution architecture or are a Master Anaplanner. You have 5 years of experience collaborating with cross-functional teams to define requirements and manage technical projects. Your skill set also includes experience in data analysis, Key Performance Indicator (KPIs), and reporting/dashboarding. You possess excellent technical process analysis skills to effectively translate business requirements into solution designs. As a member of the Business Systems Integration team at Google, you will play a crucial role in identifying and removing roadblocks that hinder progress. By developing reliable and scalable solutions, you will streamline internal processes to align with the company's size and scope. Your responsibilities will involve translating Googler needs into technical specifications, designing and developing systems, and consulting with Google executives to ensure successful implementation. Whether optimizing existing system processes or leveraging Google's suite of products, your work will enhance operational efficiency for Googlers. Drawing on your technical expertise, you will design business applications and influence feature enhancements to bolster application and system reliability. You will lead technical projects, defining their scope and overseeing execution to drive successful outcomes. This is an exciting opportunity to join Google Cloud's Go-To-Market team and be at the forefront of the AI revolution for businesses globally. By harnessing Google's brand credibility and cutting-edge AI portfolio, including Gemini models and the Vertex AI platform, you will tackle complex business challenges. You will collaborate with DeepMind's engineering and research experts, empowering you to deliver innovative solutions and drive customer success in the evolving cloud market. Your primary responsibilities will include designing, building, and maintaining Anaplan models to support various business planning aspects. You will collaborate with Data teams to reconcile discrepancies with other systems, refine and optimize Anaplan models for enhanced performance and accuracy, and integrate data from multiple sources into Anaplan while ensuring data accuracy and consistency. Documentation of models and processes, testing, and validation of Anaplan models will be essential tasks. Additionally, you will work closely with various teams across the organization to understand business requirements, translate them into Anaplan solutions, and enhance overall operational performance.,

At JP Morgan Chase, we prioritize providing exceptional value and a seamless experience to our customers as a trusted financial institution. Chase UK was established with the goal of revolutionizing digital banking through intuitive and enjoyable customer journeys. Backed by the trust of millions of customers in the US, our presence in the UK is rapidly expanding, with plans to extend across Europe. We are in the process of building the bank of the future from scratch, offering you the opportunity to join us and contribute significantly to our mission. As a part of our team, your responsibilities will include delivering end-to-end data pipeline solutions on cloud infrastructure by leveraging cutting-edge technologies and industry best practices. You will apply domain modeling techniques to develop top-notch business products and structure software for enhanced understanding, testing, and evolution. Building solutions with scalable architectural patterns to avoid single points of failure, you will also prioritize developing secure code to safeguard our customers and organization from malicious threats. Timely investigation and resolution of issues, ensuring they do not recur, and facilitating zero downtime releases for end-users are crucial aspects of your role. Additionally, optimizing data reading and writing, monitoring performance, and updating technologies and patterns continuously will be part of your daily tasks. Supporting products throughout their lifecycle, including production and incident management, will also fall under your purview. To excel in this role, you should possess formal training or certification in data engineering concepts, along with recent hands-on professional experience as a data engineer. Proficiency in coding with Python, designing and implementing effective tests, and excellent written and verbal communication skills in English are essential requirements. Experience with cloud technologies, distributed systems, data transformation frameworks, and data pipeline orchestration tools is vital. Managing large volumes of data, optimizing data processing, understanding event-based architecture, data streaming, and messaging frameworks are key competencies we seek. Your ability to coach team members on coding practices, design principles, and implementation patterns, as well as manage stakeholders and prioritize effectively across multiple work streams, will be highly valued. Additionally, preferred qualifications for this role include experience in a highly regulated environment/industry, familiarity with AWS cloud technologies, expertise with data governance frameworks, understanding of incremental data processing and versioning, and knowledge of RESTful APIs and web technologies.,

As an AI Architect at our organization, you will play a crucial role in defining and implementing the end-to-end architecture for deploying our machine learning models, including advanced Generative AI and LLM solutions, into production. Your responsibilities will include leading and mentoring a cross-functional team of Data Scientists, Backend Developers, and DevOps Engineers to foster a culture of innovation, technical excellence, and operational efficiency. In terms of Architectural Leadership, you will design, develop, and own the scalable, secure, and reliable architecture for deploying and serving ML models with a focus on real-time inference and high availability. You will also lead the strategy and implementation of the in-house API wrapper infrastructure and define architectural patterns, best practices, and governance for MLOps. Evaluating and selecting the optimal technology stack for our ML serving infrastructure will also be a key part of your role. Regarding Team Leadership & Mentorship, you will lead, mentor, and inspire the diverse team, guiding them through complex architectural decisions and technical challenges. Your goal will be to foster a collaborative environment that encourages knowledge sharing, continuous learning, and innovation across teams while driving technical excellence and adherence to engineering best practices. Your expertise in Generative AI & LLM will be essential as you architect and implement solutions for deploying Large Language Models, drive the adoption of techniques like Retrieval Augmented Generation, and stay updated on the latest advancements in AI to evaluate their applicability to our business needs. Collaborating closely with Data Scientists, Backend Developers, and DevOps Engineers will be crucial to integrate models seamlessly into the serving infrastructure, build robust APIs, and ensure operational excellence of the AI infrastructure. Effective communication of complex technical concepts to both technical and non-technical stakeholders will also be a part of your responsibilities. In terms of qualifications, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field, along with 10+ years of software engineering experience and proven experience in leading cross-functional engineering teams. Your technical skills should include expertise in MLOps principles, Python proficiency, containerization technologies, cloud platforms, Large Language Models, and monitoring tools. Leadership qualities such as exceptional mentorship and team-building abilities, strong analytical and problem-solving skills, excellent communication skills, and a strategic mindset will be highly valued in this role. Bonus points will be awarded for experience with specific ML serving frameworks, contributions to open-source projects, and familiarity with data governance and compliance in an AI context.,

As a global leader in cybersecurity, CrowdStrike protects the people, processes, and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe, and their lives moving forward. We're also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation, and a fanatical commitment to our customers, our community, and each other. Ready to join a mission that matters The future of cybersecurity starts with you. You will be joining the NGSIEM Data Onboarding Team responsible to develop our third party ingest pipelines with the goal to build the best in class Next-Gen SIEM. You will be a part of the Platform group and support testing the systems that control ingestion for third party data at petabyte scale. You will interact with product managers and other engineers in building both internal and external facing services. **What You'll Do:** - Contribute to turning prototypes into large-scale services. - Understand our products to improve architecture, user experience, performance, and stability. - Contribute to existing tools, frameworks, and related code base. - Plan, design, develop, verify, deploy, and maintain automated test suites. - Increase our automated test coverage, and improve our release quality and velocity. - Validate and verify customer-facing features, end-to-end, across the product platform. - Have autonomy to own your work in a high trust environment. - Troubleshoot and debug critical production issues. **What You'll Need:** - 8+ years in test automation development or experience / as an SDET. - Demonstrated working experience on Designing & Implementing test frameworks with High quality and proficiency on at least one programming language. - Solid experience in OOP, data structures, algorithms, distributed systems, and Web services (Rest, gRPC, RPC). - You will be responsible for testing fault-tolerant, high scalable cloud systems using Python/Golang. - Hands-on experience in large-scale (distributed) system architecture, high scalability and availability, and optimization. - Good understanding of engineering best practices from testing paradigms to effective peer code reviews and resilient architecture. - The skills and mindset to meet your commitments on time and produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. - Familiarity with Docker and Kubernetes based development and orchestration. **Bonus Points:** - Contributions to the open-source community (GitHub, Stack Overflow, blogging). - Experience with commercial clouds (AWS, Azure, GCP). - Prior experience in the cybersecurity or intelligence fields. **Benefits Of Working At CrowdStrike:** - Remote-friendly and flexible work culture. - Market leader in compensation and equity awards. - Comprehensive physical and mental wellness programs. - Competitive vacation and holidays for recharge. - Paid parental and adoption leaves. - Professional development opportunities for all employees regardless of level or role. - Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections. - Vibrant office culture with world-class amenities. - Great Place to Work Certified across the globe. CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.,

The Senior Software Developer (MERN) position in Noida requires 5-8 years of experience and immediate to 15 days of joiners only. As a Senior Software Developer, you will be responsible for building the eCourt application using ReactJS, Node.js, MongoDB, and a microservices-based architecture. Your role will involve collaborating within a high-performing team to deliver quality code and contribute to building scalable, secure applications. Your focus will be on performance, code quality, and customer satisfaction. You should have 5+ years of hands-on experience in MERN Stack development and hold a B.Tech / MCA degree (M.Tech preferred). Essential skills include expertise in Node.js, MongoDB, ReactJS, React Native, RESTful APIs, microservices architecture, API design, and server-side technologies. Proficiency in containerization (e.g., Docker), orchestration (e.g., Kubernetes), Git, and strong communication skills are essential. Additionally, experience with AWS services, international coding standards, DevOps tools, problem-solving, and analytical capabilities are preferred. In this role, you will collaborate with product management and development teams, engage with customers, and drive project execution. Your routine responsibilities will include developing features, writing clean and testable code, supporting team members, ensuring best practices, maintaining backend services, and participating in all phases of the software development lifecycle. If you are passionate about MERN Stack development and possess the required skills and experience, please share your resume to sunidhi.manhas@portraypeople.com.,

You are an experienced Web Application Architect with over 10 years of experience in full-stack development and cloud-native architecture. Your primary responsibility will be to design end-to-end technical solutions, guide development teams, and deliver scalable, secure, and high-performing enterprise applications. Working closely with stakeholders from product, engineering, and operations, you will architect solutions for diverse domains such as SaaS, ERP, IoT, and Supply Chain. Your key responsibilities will include designing and owning the architecture for scalable and distributed systems, utilizing modern technologies like Node.js, NestJS, Laravel, ReactJS, and AWS. You will translate business requirements into high-level technical solutions, define system standards, development processes, and deployment strategies, and provide technical leadership throughout the software development lifecycle. Collaborating with cross-functional teams, you will guide best practices in microservices, APIs, cloud-native patterns, and database design. As a Web Application Architect, you will lead and mentor development teams, conduct architecture workshops, participate in sprint planning and delivery, and ensure that solution designs meet performance, scalability, availability, and security requirements. Additionally, you will evaluate and recommend emerging tools, technologies, and frameworks to improve development productivity and product quality. Your expertise should cover a range of key skills and technologies, including Architecture & Design principles like Microservices, Distributed Systems, API Design, and Event-Driven Architecture. You should be proficient in Backend technologies such as Node.js, NestJS, PHP, Laravel, Frontend technologies like ReactJS, Angular, Vue.js, and GraphQL, as well as Cloud & DevOps tools like AWS (Lambda, EC2, ECS, S3, RDS, Elasticache), Azure, Docker, GitLab CI/CD, and Jenkins. Your knowledge should also extend to various databases such as MongoDB, MySQL, PostgreSQL, Elasticsearch, and other technologies like Kafka, REST/GraphQL APIs, Agile methodologies (Scrum/Kanban), and tools like Jira and Confluence.,

We are looking for a highly skilled Senior Architect specializing in Application Migration & Modernization to join our team. In this senior-level role, you will be responsible for architecting and overseeing the transformation of complex legacy applications into modern cloud-native architectures. You will collaborate closely with both technical teams and business stakeholders to define migration strategies, modernize application infrastructures, and ensure seamless integration with cloud platforms while optimizing performance, scalability, and security. As a Senior Architect, you will take the lead in driving application migration and modernization initiatives, utilizing industry best practices, cloud technologies, and cutting-edge methodologies to ensure that enterprise applications meet the future demands of digital transformation. Key Responsibilities Lead Application Migration & Modernization Efforts: - Architect end-to-end migration and modernization strategies for legacy applications, ensuring a seamless transition to cloud environments (Public Cloud, Private cloud/Hybrid Cloud platform). - Design cloud-native solutions, including microservices, containers, serverless computing, and other modern application architectures. - Guide and define migration paths for applications, including rehosting, replatforming, refactoring, and rebuilding strategies based on business and technical requirements. Collaborate with Stakeholders: - Work closely with senior business leaders, stakeholders, and clients to understand business objectives and develop tailored migration and modernization strategies. - Provide expert consultation to key stakeholders on the technical aspects of application migration, modernization, and optimization. - Act as a trusted advisor to senior leadership, offering insights into how cloud migration and modernization can drive business growth and operational efficiency. Technical Leadership & Mentorship: - Lead and mentor a team of architects, developers, and engineers to implement cloud-native solutions while ensuring adherence to architectural principles, best practices, and quality standards. - Foster a culture of innovation by staying abreast of emerging technologies and continuously exploring new approaches for application modernization. - Provide guidance to teams on architectural decisions, ensuring that technical solutions align with organizational goals and industry standards. Migration Strategy & Roadmap Development: - Assess existing application portfolios and systems, identifying modernization opportunities and building detailed roadmaps for the migration process. - Evaluate the current state of applications, define migration objectives, and design appropriate solutions based on cost, performance, and operational requirements. - Drive the selection of tools, platforms, and technologies for application modernization, considering cloud platforms, databases, integration services, and security solutions. Cloud Architecture & Platform Optimization: - Design scalable, resilient, and secure cloud architectures for migrated and modernized applications, ensuring high availability, disaster recovery, and performance optimization. - Optimize application and infrastructure design for cost efficiency, cloud scalability, and future-proofing, leveraging cloud best practices and tools. - Oversee the integration of legacy systems with cloud-native services, databases, and other cloud tools to support modernized architectures. Security & Compliance: - Ensure that all migration and modernization initiatives align with security best practices, compliance standards (e.g., GDPR, HIPAA), and organizational risk management policies. - Work with security teams to embed robust security controls into applications and infrastructure post-migration. Project Oversight & Execution: - Oversee the successful execution of migration projects from design through to deployment, ensuring that deliverables meet timelines, budget, and quality standards. - Manage stakeholder expectations and lead technical discussions to resolve issues, make decisions, and drive progress on complex projects. Continuous Improvement & Knowledge Sharing: - Act as a change agent, continuously optimizing processes, tools, and methodologies for improved migration efficiency and business outcomes. - Share knowledge and promote best practices across the organization to strengthen internal capabilities and support long-term modernization efforts. Required Skills & Experience Migration & Modernization Expertise: - Extensive experience in leading large-scale application migration and modernization initiatives, including cloud adoption, replatforming, refactoring, and re-architecting applications. - Proven experience designing cloud-native application architectures, including microservices, containerization (Docker, Kubernetes), and serverless computing. - Deep understanding of the challenges and best practices for migrating legacy systems (monolithic architectures, on-premises solutions) to cloud platforms. - Knowledge on Full Stack technology (Frontend, backend, Database, Middleware) Cloud Platforms & Technologies: - Expert-level knowledge of major cloud platforms (AWS, Azure, Google Cloud) and their respective services, including compute, storage, networking, databases, and DevOps tools. - Experience with cloud-native services such as AWS Lambda, Azure Functions, Kubernetes, AWS ECS/EKS, Google Kubernetes Engine (GKE), and cloud databases (RDS, DynamoDB, Cosmos DB, etc.). - Hands-on experience with cloud migration tools and frameworks (e.g., AWS Migration Hub, Azure Migrate). Architecture & Solution Design: - Strong expertise in designing and implementing distributed systems, microservices architectures, container orchestration, and API-driven integrations. - Proficiency in cloud security best practices and designing secure cloud architectures to ensure data protection, identity management, and compliance. - Experience with infrastructure-as-code (IaC) frameworks (e.g., Terraform, CloudFormation) to provision and manage cloud environments. Leadership & Communication: - Proven leadership skills in managing teams of architects, engineers, and other technical resources, including mentoring and developing talent. - Excellent communication skills, with the ability to translate complex technical concepts into understandable terms for stakeholders at all levels of the organization. - Ability to influence key decision-makers and align project objectives with business outcomes. Certifications: - Cloud certifications such as AWS Certified Solutions Architect Professional, Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect. - Relevant certifications in architecture, IT transformation, and application modernization are a plus.,

You will be responsible for embedding automation testing in the development process, supporting CI/CD efforts, proposing test automation tooling and infrastructure, and collaborating with developers to build and maintain it. You will actively contribute to the tech strategy by providing valuable insights on test automation and software quality. Staying up to date with new test automation technology and planning strategically for possible changes will be part of your role. At times, you will write automated tests that are resilient to changes in the application's UI. You will become the go-to person for the test automation topic for both business and tech stakeholders. Working closely with development teams, you will understand the business needs and identify quality requirements. Viewing possible outages as critical learning opportunities to improve and inspiring developers, designers, and product owners to be quality conscious through extensive training and workshops about testing culture and best practices will be essential. Planning and prioritizing different strategies according to business needs and evaluating internal testing tools while introducing new ones to improve ROI are key responsibilities. You will need to have at least 8+ years of experience in a high technological environment in a similar role. Proficiency in at least one of the following languages: Python, Perl, Java, JavaScript, Objective-C, C, C++, or C# is required. Being an expert in unit or automation test frameworks such as JUnit, TestNG, Mockito, Selenium, Nightwatch, Postman, JMeter, or TestComplete is necessary. Experience in developing fully automated CI/CD pipelines, working with CI & source control tools like Jenkins, GitHub, Gitlab, Octopus, TFS, or others, and the ability to choose the right test framework based on project needs while balancing trade-offs are important. Having a strong grasp of computer science fundamentals, algorithms, and data structures, as well as a passion for Continuous Improvement, Innovation, and New technologies, is expected. Clear understanding of various software testing methodologies including unit, integration, smoke, performance, stress, load, regression, acceptance, usability, and security testing is required. Knowledge of SOA/Microservices and web architecture, experience around distributed systems, good communication skills, stakeholder management abilities, experience mentoring and training other developers on software quality topics, and a strong work ethic are all essential qualities for this role.,

As an Associate Software Engineer Trainee at Jungleworks in Mohali, you will be part of a team that thrives on solving business challenges through innovative technology. We are seeking individuals who are passionate about leveraging technology and innovation in a collaborative team setting. Your role will involve collaborating with experienced professionals to design and develop innovative products. You will work in a large distributed computing environment, leading fundamental changes in the industry. Your responsibilities will include creating solutions to run predictions on distributed systems, designing and coding solutions, and delivering high-quality software in an agile environment. Basic qualifications for this role include being in the final year of a Bachelors or Masters Degree in Computer Science, Computer Engineering, or a related field from Tier 1 and Tier 2 colleges. You should have familiarity with languages such as MEAN, MERN stack, .NET/C# stack, and FReMP stack (Flask, React, MongoDB, Python), as well as knowledge of Computer Science fundamentals. Preferred qualifications include previous technical internships, experience with distributed systems and relational databases, knowledge of optimization mathematics, and the ability to effectively articulate technical challenges and solutions. At Jungleworks, we offer a growth-oriented work environment where you will have the opportunity to develop professionally and tackle challenges head-on. We believe in providing opportunities based on merit and fostering rapid growth. If you are seeking a fast-paced organization where you can grow, we invite you to join us.,

The Oracle Cloud Infrastructure (OCI) team presents you with an exciting opportunity to contribute to the development and operation of a suite of high-scale, integrated cloud services within a distributed, multi-tenant cloud environment. Committed to delivering cutting-edge cloud products that address the challenges faced by customers worldwide, OCI provides a dynamic and innovative work environment. We are seeking skilled and proactive engineers who possess a strong technical acumen and a drive to tackle complex issues in distributed, highly available services and virtualized infrastructure. As part of the Oracle Infrastructure Cloud Object Storage team, you will be involved in designing and building a performant, scalable, and resilient object store that plays a crucial role in Oracle's future and its public cloud initiatives. With opportunities available across various layers of the technology stack, including REST APIs, distributed systems, and file systems, we are looking for team players who are enthusiastic about driving innovation at every level. As a member of our team, you will have the chance to take ownership of the entire development lifecycle, from conceptualization to implementation and operation, ultimately contributing to the success of our customers" critical applications in a production environment. **Responsibilities:** - Assist in defining and developing software solutions for software applications or operating systems - Provide technical leadership and guidance to fellow software developers - Collaborate with senior architects and product management to establish project requirements - Design and implement new features based on project specifications - Define and enforce engineering processes and best practices - Conduct code reviews to ensure adherence to design principles and quality standards - Participate in operating services that handle extensive data volumes - Enhance component design and code efficiency, performance, scalability, and resilience - Demonstrate expertise in test coverage, observability, availability, and durability - Address cloud infrastructure operations issues such as LSE mitigation, CAPA, observability enhancements, and tooling improvements **Minimum Qualifications:** - Bachelor's degree in Computer Science or equivalent experience - Proficiency in a major Object-Oriented Programming language like Java, C#, or C++ - Strong understanding of data structures and design patterns - Background in developing, testing, and troubleshooting robust production services - Deep knowledge of distributed system architectures - Excellent communication skills, both written and verbal - Proficiency in troubleshooting and performance optimization - Thorough understanding of Storage/Filesystems principles including testing scope, storage fundamentals, efficiency, rebalancing, replication, striping, and redundancy **About Us:** Oracle is a global leader in cloud solutions, leveraging cutting-edge technology to address present-day challenges. With a rich history of over 40 years and a commitment to integrity, Oracle collaborates with industry leaders across various sectors to drive innovation and growth. We believe in fostering an inclusive workforce where every individual is empowered to contribute to our success. Our commitment to diversity and equal opportunities ensures a work environment where work-life balance is prioritized. Oracle offers competitive benefits, including flexible medical, life insurance, and retirement options, ensuring parity and consistency for all employees. We encourage our team members to give back to their communities through volunteer programs and support initiatives that promote social responsibility. We are dedicated to promoting inclusivity by accommodating individuals with disabilities throughout the employment process. If you require accessibility assistance or accommodation, please reach out to us at accommodation-request_mb@oracle.com or call +1 888 404 2494 in the United States.,

You will be responsible for designing, developing, and enhancing electro-mechanical systems and mechatronic devices. Your role will involve researching and delivering new industrial solutions, upgrading machinery, and technology. You will coordinate Mechanical/electronic engineering activities related to the development, procurement, installation, and calibration of instruments, equipment, and control devices required for testing and recording test data. Additionally, you will be tasked with selecting tools and materials for the manufacturing process and identifying innovative technologies to benefit operations. Your experience in developing various Industrial applications, distributed systems, electronic controls, and communication will be crucial, especially in interfaces and hardware software integration. You will monitor or calibrate automated systems, industrial control systems, or system components to maximize production efficiency. Reading and interpreting complex mechanical and technical drawings will also be part of your responsibilities. Furthermore, you will support operational improvement and cost reduction activities by providing technical expertise in process and manufacturing methods. You will offer engineering and troubleshooting support to production and maintenance teams to resolve technical issues, equipment breakdowns, and drive process improvement. Identifying areas for improvement in the production line or finished products and making recommendations will be key. You should also have experience in ISO 9001:2015 audits. Requirements for this role include a Bachelor's degree in Electromechanical/Mechanical/Electrical/Industrial Engineering and a minimum of 5-7 years of experience with a strong industrial automation background and control systems. Operating knowledge and experience in AUTOCAD and SOLIDWORKS, PLC programming, HMI/SCADA systems, machine safety systems, and applicable standards are essential. Automation experience in pick, carry & placing of components for various process stages is a plus. You should have an intermediate level of proficiency in MS Excel and other MS Office programs, as well as working knowledge of ERP systems. You will be responsible for the automation and upgradation of the existing manufacturing line at the factory. This includes deriving specifications for the new production line and coordinating with suppliers, the Supply chain, process engineering, and other cross-functional teams. Ohmium is an equal opportunity employer that celebrates diversity and is committed to creating an inclusive environment for all employees.,

As a Senior Staff Software Engineer, you will operate at the highest levels of technical depth, architectural design, and strategic influence. This role goes beyond writing code; you will shape the technical vision, drive engineering excellence, and mentor teams to solve complex, large-scale challenges in fintech. Your technical skills should include extensive hands-on experience in software development with proficiency in multiple languages such as Java, Python, C++, Go, etc. You must have a strong understanding of software architecture, design patterns, and best practices. Additionally, expertise in scalable, distributed systems and microservices architecture is essential. Deep knowledge of real-time transaction processing and high-throughput systems is a must. Experience with cloud platforms like AWS, GCP, Azure, and containerization tools like Docker and Kubernetes is required. You should have at least 10 years of professional software development experience. In terms of leadership and decision-making, you should have a proven ability to lead and mentor engineering teams, fostering a culture of technical excellence. Experience in making architectural decisions that impact large-scale systems is crucial. You must possess a strong ability to align technical strategies with business goals and long-term vision. Problem-solving and operational excellence are key aspects of this role. You should have strong analytical and debugging skills, with experience in troubleshooting high-scale production systems. Your ability to drive continuous improvement in performance, reliability, and scalability is essential. Experience with monitoring, alerting, and resilience engineering is also required. Communication and collaboration skills are equally important. You should have excellent communication skills and be capable of explaining technical concepts to non-technical stakeholders. Your ability to work across cross-functional teams, including product, business, and compliance, is necessary for success in this role. Preferred skills include knowledge of the fintech domain, such as understanding lending platforms, wealth management, or embedded financial services. Experience in policy management systems, claims automation, and underwriting workflows for insurance is advantageous. Familiarity with regulatory compliance, security, and governance in fintech would also be beneficial for this position.,

As a Tech Lead specializing in Observability Tools at TCS, you will have over 10 years of experience in designing and implementing observability solutions. Your core responsibilities will include selecting, configuring, and deploying tools and platforms for collecting, processing, and analyzing telemetry data such as logs, metrics, and traces. You will also be tasked with creating monitoring and alerting systems, instrumenting applications and infrastructure, analyzing system performance, defining service level objectives, and improving incident response processes. Collaboration is key in this role, as you will work closely with development, operations, and SRE teams to integrate observability practices throughout the software development lifecycle. Additionally, you will be responsible for educating and mentoring teams on observability best practices and staying up to date with the latest observability trends and technologies. To excel in this role, you should possess a strong understanding of observability principles, proficiency with observability tools and platforms, programming and scripting skills, experience with cloud platforms, understanding of distributed systems, troubleshooting and problem-solving skills, communication and collaboration skills, knowledge of DevOps and SRE practices, data analysis and visualization skills, and experience with containerization and orchestration technologies. Overall, as a Tech Lead for Observability Tools at TCS, you will play a crucial role in enhancing system performance, reliability, and incident response by leveraging observability practices and tools effectively.,

As a Software Engineering Team Lead, you will be responsible for leading a team of software engineers by providing technical direction and mentoring. Your role will involve overseeing the end-to-end software development life cycle (SDLC), including requirement analysis, design reviews, code quality, and deployment. It will be crucial for you to ensure adherence to secure coding standards such as PCI-DSS compliance and industry best practices. Collaboration with stakeholders across product, QA, and operations to deliver complex technical projects will be a key aspect of your responsibilities. Additionally, you will be driving a DevOps culture, implementing CI/CD pipelines, and automating deployment processes. Your expertise will be instrumental in conducting performance tuning and scalability reviews for Java microservices-based applications. You will also be managing integration with APIs, third-party services, and transaction systems. Keeping the team updated on emerging technologies relevant to BFSI and guiding innovation will be essential in this role. To excel in this position, you should bring to the table 10-16 years of software engineering experience, with at least 3 years in a leadership or managerial role. Your proven expertise in Core Java, Spring Boot, REST APIs, Hibernate/JPA, and microservices architecture will be highly valued. Hands-on experience with cloud services (AWS, Azure, GCP), containerization (Docker, Kubernetes), and event-driven systems is a must. A strong understanding of multithreading, data structures, algorithms, and distributed systems will be beneficial for this role. Proficiency with SQL & NoSQL databases (MySQL, MongoDB, Cassandra) is required, along with experience in message queues (Kafka, RabbitMQ, ActiveMQ) and API gateway integrations. Familiarity with DevOps practices, Git, Jenkins, and monitoring tools (New Relic, AppDynamics) is also essential. Your strong experience in performance tuning and load testing will further strengthen your candidacy. Ideally, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Exposure to architectural design patterns and enterprise integration frameworks will be considered a plus. Excellent leadership, problem-solving, and stakeholder management skills are desired qualities for this role. This position is based in Andheri (W), Mumbai, Maharashtra. Candidates currently residing in Mumbai are encouraged to apply.,

As a Principal Engineer, you will be the most senior technical leader within the team, responsible for tackling complex challenges across technology and business domains. Your role will be pivotal in shaping the technical strategy and producing the Technology Roadmap. Your leadership will play a crucial role in coaching and guiding the organization towards successful execution. You are skilled at collaborating effectively with various teams to contribute meaningfully to solution design. Your exceptional communication skills will enable you to connect with developers at all levels and convey complex ideas effectively. Your ability to solve difficult problems within legacy systems and find optimal solutions will be key. You can envision the bigger picture, establish a target state, and empower others to contribute meaningfully along the way. Your responsibilities will include developing and contributing to the technical strategy for the product, guiding and leading your team in executing the technical roadmap, resolving major technical blockers, setting high standards for code quality, defining clear goals for systems, influencing design efforts for robust solutions, mentoring and guiding Technical Leads and Software Engineers, leading complex projects from conception to completion, collaborating with Technical Leads to communicate technical strategy effectively, and solving intricate technical problems to enable efficient delivery by Engineering teams. The required qualifications for this role include a minimum of 15 years of software engineering experience with a focus on system architecture, expertise in modernizing legacy systems, exceptional communication skills, proficiency in diverse technology stacks, hands-on experience in full-stack development, knowledge of Infrastructure as Code principles and major cloud providers, experience in domain modeling and translating business requirements into technical solutions, familiarity with software architecture patterns and frameworks, experience in SaaS platforms, commitment to transparent communication and fostering an inclusive engineering culture, and expertise in performance analysis and optimization of large-scale systems. Preferred qualifications include an advanced degree in a technical discipline, professional certifications in cloud architecture, deep expertise in a specific technical domain critical to strategic future, experience in driving technological innovation, active participation in the tech community, success in implementing long-term technical vision and strategy, and experience with multi-cloud or hybrid-cloud environments.,

At American Express, the culture is built on a 175-year history of innovation, shared values, and Leadership Behaviors, with a strong commitment to supporting customers, communities, and colleagues. As part of Team Amex, you will benefit from comprehensive support for your holistic well-being and numerous opportunities to enhance your skills, develop as a leader, and advance your career. Your voice and ideas hold significance here, as your work creates an impact and contributes to shaping the future of American Express. With the right support, both individuals and businesses can progress in remarkable ways. By joining Team Amex, you become part of a global and diverse community dedicated to supporting customers, communities, and each other. Your career journey will be unique and meaningful, with benefits, programs, and flexibility tailored to support your personal and professional growth. At American Express, your contributions, leadership, and impact are recognized, and every colleague has the chance to share in the company's success. Working together as a team, we strive to uphold our company values and commitment to providing the best customer experience with integrity and inclusivity. Join Team Amex's Global Loyalty and Benefits organization to lead the way together. Global Loyalty and Benefits powers Membership Reward points, Amex Offers, Insurance, and Card benefits for over 112 million cards across 58 markets globally. This position is within the Global Loyalty and Benefits Engineering Department. As a Senior Quality Engineer II, you will play a vital role in the transformation journey of decommissioning legacy applications and transitioning to a modern platform based on event-driven architecture and cutting-edge technologies such as Golang, Docker, Kafka, and Postgres. This highly scalable platform is capable of supporting up to 10,000 TPS. Key Responsibilities: - Understand the Loyalty and Benefits domain and its impact on the AMEX customer experience - Learn and support legacy applications and modern platforms to gain a deep understanding of all functional workflows - Collaborate with product owners and technology counterparts globally to advance initiatives for business growth, cost savings, platform maintenance, and modernization - Participate in agile development processes including sprint planning, stand-ups, demos, and retrospectives - Develop test automation framework solutions, conduct code reviews, and ensure smooth CI/CD pipeline processes - Identify test data needs for initiatives and innovate to streamline data setup efforts - Co-ordinate project delivery across global teams and manage risks throughout the project life cycle - Lead initiatives and drive adoption of CICD and DevOps practices within the team Minimum Qualifications: - Bachelor's degree in computer science, computer science engineering, or related field with at least 8 years of experience in software quality assurance - Experience in working with product and business stakeholders to gather requirements, write test cases, and manage test data needs - Proficiency in developing test automation frameworks and exposure to container-based technologies, GIT, Jenkins, TDD/BDD, and more - Familiarity with distributed systems, microservices architecture, messaging services like Kafka, and relational/NoSQL databases - Ability to work both independently and collaboratively in a team environment - Commitment to writing clean, maintainable code with good documentation practices - Exposure to Chaos engineering and nonfunctional requirements testing American Express offers competitive base salaries, bonus incentives, financial well-being support, comprehensive health benefits, flexible working arrangements, generous parental leave policies, access to wellness centers, counseling support, and career development opportunities. Please note that employment with American Express is subject to the successful completion of a background verification check in accordance with applicable laws and regulations.,

The contextualization platform enables large-scale data integration and entity matching across heterogeneous sources. The current engineering focus is to modernize the architecture for better scalability and orchestration compatibility, refactor core services, and lay the foundation for future AI-based enhancements. This is a pivotal development initiative with clear roadmap milestones and direct alignment with a multi-year digital transformation strategy. We are looking for a skilled and motivated Senior Backend Engineer with strong expertise in Kotlin to join a newly established scrum team responsible for enhancing a core data contextualization platform. This service plays a central role in associating and matching data from diverse sources - time series, equipment, documents, 3D objects - into a unified data model. As a Senior Backend Engineer, you will lead backend development efforts to modernize and scale the platform by integrating with an updated data architecture and orchestration framework. This is a high-impact role contributing to a long-term roadmap focused on scalable, maintainable, and secure industrial software. Key Responsibilities: - Design, develop, and maintain scalable, API-driven backend services using Kotlin. - Align backend systems with modern data modeling and orchestration standards. - Collaborate with engineering, product, and design teams to ensure seamless integration across the broader data platform. - Implement and refine RESTful APIs following established design guidelines. - Participate in architecture planning, technical discovery, and integration design for improved platform compatibility and maintainability. - Conduct load testing, improve unit test coverage, and contribute to reliability engineering efforts. - Drive software development best practices including code reviews, documentation, and CI/CD process adherence. - Ensure compliance with multi-cloud design standards and use of infrastructure-as-code tooling (Kubernetes, Terraform). Qualifications: - 7+ years of backend development experience, with a strong focus on Kotlin - Proven ability to design and maintain robust, API-centric microservices. - Hands-on experience with Kubernetes-based deployments, cloud-agnostic infrastructure, and modern CI/CD workflows. - Solid knowledge of PostgreSQL, Elasticsearch, and object storage systems. - Strong understanding of distributed systems, data modeling, and software scalability principles. - Excellent communication skills and ability to work in a cross-functional, English-speaking environment. - Bachelor's or Master's degree in Computer Science or related discipline. Bonus Qualifications: - Experience with Python for auxiliary services, data processing, or SDK usage. - Knowledge of data contextualization or entity resolution techniques. - Familiarity with 3D data models, industrial data structures, or hierarchical asset relationships. - Exposure to LLM-based matching or AI-enhanced data processing (not required but a plus). - Experience with Terraform, Prometheus, and scalable backend performance testing. About the role and key responsibilities: - Develop Data Fusion - a robust, state-of-the-art SaaS for industrial data. - Solve concrete industrial data problems by designing and implementing delightful APIs and robust services on top of Data Fusion. - Work with application teams to ensure a delightful user experience that helps the user solve complex real-world problems. - Work with distributed open-source software such as Kubernetes, Kafka, Spark, and similar to build scalable and performant solutions. - Help shape the culture and methodology of a rapidly growing company. GlobalLogic offers a culture of caring, learning and development opportunities, interesting and meaningful work, balance and flexibility, and a high-trust organization where integrity is key. Join us to be part of a trusted digital engineering partner creating innovative digital products and experiences.,

The team you will be joining develops and supports a strategic platform that calculates, manages, and stores intra-day and EOD risk data for front office trading using cutting-edge technologies such as Microsoft Orleans and NET8. Your role will provide you with the opportunity to engage with our trading, quants, and sales teams in an agile manner, allowing you to learn the vital role that risk plays across a range of commodities, financial and physical products. You will also have the chance to gain experience in real-time pricing and risk techniques. As our business has expanded in recent years, we have initiated an ambitious re-engineering program across our application estate. This involves retiring applications, modernizing, and rationalizing our technology stack to enable quicker time-to-market for new products and faster trading capabilities driven by technology. Your role as an AVP level Architecture Developer within the Commodities Technology Front Office Risk team will involve interfacing directly with traders and quants to gather and define business requirements. You will be expected to provide expertise in your area and possess advanced knowledge of applications programming to ensure that application design aligns with the overall architecture blueprint. Additionally, you will be responsible for contributing to the re-engineering, development, and enhancement of a wide range of risk management tools. Utilizing your advanced knowledge of system flow, you will develop standards for coding, testing, debugging, and implementation. Furthermore, you will be required to develop a comprehensive understanding of how different areas of the business, such as architecture and infrastructure, integrate to achieve business goals. Your role will also involve providing in-depth analysis with interpretive thinking to define issues and develop innovative solutions. To excel in this role, you should have expert skills in building Distributed Systems and extensive experience in designing and architecting Risk systems, preferably in .NET. You should demonstrate the ability to adjust priorities quickly as circumstances dictate and consistently exhibit clear and concise written and verbal communication. Knowledge of Risk Systems, particularly in Front Office or downstream, preferably in Commodities, is also essential. Good understanding of Quant models and prior experience with Microsoft Orleans will be considered additional assets for this role. Ideally, you should have a degree or be university educated (masters preferred) or possess equivalent experience in a similar role.,

Abnormal Security is seeking a Senior Software Engineer to join the Message Detection - Entity Scoring Signals team. At Abnormal, we are dedicated to safeguarding our clients against ever-evolving cyber threats by utilizing our innovative behavioral-based approach. As a recognized leader in cybersecurity, Abnormal's cutting-edge AI system has earned us the trust of protecting over 8% of the Fortune 1000 companies and continues to grow. The Message Detection team plays a crucial role in developing a high-recall Detection Engine capable of analyzing hundreds of millions of messages in milliseconds to combat the constantly changing attack landscape. The team's mission is to deliver top-notch detector efficacy by utilizing a combination of generalizable and auto-trained models alongside specific detectors for high-value attack categories. Within the Entity Scoring Signals team, we are driving advancements in email security by creating state-of-the-art signals and detectors to detect cybersecurity threats. Our approach involves breaking down emails into entities and devising sophisticated heuristics to evaluate the suspiciousness of each entity. This entity-centric strategy enhances the accuracy, actionability, and explainability of threat detection, allowing our engine to swiftly adapt to emerging attack patterns. As a Senior Software Engineer, you will play a pivotal role in shaping the team's direction and roadmap. You will focus on understanding false negatives and identifying potential attacks that could disrupt customer workflows significantly. Additionally, you will be instrumental in defining the technical roadmap to address critical customer issues while maintaining an exceptionally high level of recall in our detection decisioning system. **Responsibilities:** - Architect, design, build, and deploy backend services and infrastructure to support a top-tier Detection Engine - Lead impactful projects such as enhancing our feature store, optimizing models for lower latency/memory requirements, and serving as a liaison between our ML and platform teams - Provide guidance and mentorship to junior engineers through 1on1 sessions, pair programming, code reviews, and design reviews **Requirements:** - 8+ years of experience as a hands-on engineer developing complex data-oriented end-user products - Proven track record in translating business requirements into scalable, maintainable systems with a preference for simpler, iterative solutions - Strong analytical mindset with the ability to tackle complex problems through a data-driven and methodical approach - Proficiency in real-time, online, high-throughput, and low-latency distributed systems using Python or Golang - Effective software engineering skills with the ability to produce structured, readable, well-tested, and efficient code - Collaborative nature with experience working with cross-functional teams to drive projects to completion - Bachelor's degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field **Nice to Have:** - Knowledge of ML systems/products and distributed system technologies - Familiarity with the cybersecurity industry Join us at Abnormal Security, where you will have the opportunity to make a significant impact on our mission to revolutionize cybersecurity and protect our clients from evolving threats.,

We are looking for a highly motivated and experienced Senior Software Engineer to be a part of our team and take on a crucial role in the development and enhancement of our advanced options analytics platform. As a Senior Software Engineer, you will be primarily involved in designing, developing, and implementing robust and scalable Java-based solutions for calculating and analyzing options pricing models and risk metrics. The ideal candidate will have a strong understanding of financial markets, options theory, and a successful track record of building high-performance, data-driven applications in Java. Your responsibilities will include: - Designing, developing, and maintaining Java-based components for our options analytics platform, such as pricing models, risk calculations (Greeks, VaR, etc.), and data processing pipelines. - Implementing and optimizing complex algorithms for option pricing and risk analysis to ensure accuracy and performance. - Collaborating with product managers and stakeholders to comprehend requirements and translate them into technical solutions. - Writing clean, well-documented, and testable code following best practices. - Participating in code reviews and contributing to enhancing the team's development processes. - Troubleshooting and debugging issues to ensure the stability and reliability of the platform. - Staying updated with the latest advancements in options pricing models, financial markets, and Java technologies. - Contributing to the architecture and design of the overall system. - Mentoring junior engineers and providing technical guidance. Qualifications we seek in you: - Bachelor's or Master's degree in Computer Science, Financial Engineering, or a related field. - 5+ years of experience in software development with a focus on Java. - Strong understanding of object-oriented programming principles and design patterns. - Proven experience in building and optimizing high-performance, multi-threaded applications. - Solid knowledge of financial markets, options theory, and derivative pricing models (e.g., Black-Scholes, Binomial, Monte Carlo). - Experience with numerical methods and algorithms used in options pricing and risk management. - Proficiency in working with large datasets and data processing techniques. - Experience with testing frameworks (e.g., JUnit, Mockito) and continuous integration/continuous deployment (CI/CD) pipelines. - Experience in building distributed systems and APIs. - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills. At Trading Technologies, we offer competitive benefits including medical, dental, vision, flexible work schedules with a hybrid work model, generous PTO days, milestone anniversary bonuses, tech resources, subsidy contributions towards gym memberships and health/wellness initiatives, and a forward-thinking culture that promotes diversity and inclusion.,

You are a highly motivated and experienced Senior Software Engineer being sought to join a dynamic team and contribute significantly to the development and enhancement of a cutting-edge options analytics platform. Your primary responsibilities will involve designing, developing, and implementing robust and scalable Java-based solutions specifically tailored for calculating and analyzing options pricing models and risk metrics. The ideal candidate will possess a strong comprehension of financial markets, options theory, and a proven track record in constructing high-performance, data-driven applications utilizing Java. Your role will entail: - Designing, developing, and maintaining Java-based components for the options analytics platform, encompassing pricing models, risk calculations (Greeks, VaR, etc.), and data processing pipelines. - Implementing and optimizing intricate algorithms for option pricing and risk analysis to ensure accuracy and performance. - Collaborating with product managers and stakeholders to comprehend requirements and translate them into technical solutions. - Writing clean, well-documented, and testable code following industry best practices. - Participating in code reviews and contributing to the enhancement of the team's development processes. - Troubleshooting and debugging issues to ensure platform stability and reliability. - Keeping abreast of the latest advancements in options pricing models, financial markets, and Java technologies. - Contributing to the architecture and design of the overall system. - Mentoring junior engineers and providing them with technical guidance. Qualifications and Skills: - Bachelor's or Master's degree in Computer Science, Financial Engineering, or a related field. - 5+ years of software development experience with a focus on Java. - Strong understanding of object-oriented programming principles and design patterns. - Proven expertise in building and optimizing high-performance, multi-threaded applications. - Sound knowledge of financial markets, options theory, and derivative pricing models (e.g., Black-Scholes, Binomial, Monte Carlo). - Experience with numerical methods and algorithms utilized in options pricing and risk management. - Proficiency in handling large datasets and data processing techniques. - Familiarity with testing frameworks (e.g., JUnit, Mockito) and continuous integration/continuous deployment (CI/CD) pipelines. - Experience in constructing distributed systems and APIs. - Excellent problem-solving and analytical abilities. - Strong communication and collaboration skills. Trading Technologies is a leading Software-as-a-Service (SaaS) technology platform provider in the global capital markets industry. The company's TT platform, renowned for its excellence, connects to major international exchanges and liquidity venues across listed derivatives and other asset classes, including fixed income and cryptocurrencies. TT offers advanced tools for trade execution, order management, market data solutions, analytics, trade surveillance, risk management, and infrastructure services to top-tier sell-side institutions, buy-side firms, and exchanges. Its prestigious client base comprises Tier 1 banks, brokers, hedge funds, proprietary traders, and more, who rely on the TT ecosystem for seamless trading operations. TT strategically partners with technology companies to enhance its offerings through the TT ecosystem, benefiting its global clientele.,

The candidate will work closely with Engineering, Product, AI/ML, SRE, DevOps, and Compliance teams to drive operational excellence and shape the next generation of support standards for AI-driven enterprise systems. Functionally accountable for all post-deployment support and performance assurance of digital expert systems. Operates at L3+ support level, enabling L1/L2 teams through proactive observability, automation, and runbook design. Leads stability engineering squads, AI support specialists, and DevOps collaborators across multiple business units. Acts as the bridge between operations and engineering, ensuring technical fixes feed into product backlog effectively. Supports continuous improvement through incident intelligence, root cause reporting, and architecture hardening. Sets the support governance framework (SLAs/OLAs, monitoring KPIs, downtime classification, recovery playbooks). Build and govern the AI Support Control Center to track usage patterns, failure alerts, and escalation workflows. Define and enforce SLAs/OLAs for LLMs, GenAI endpoints, NLP components, and associated microservices. Establish and maintain observability stacks (Grafana, ELK, Prometheus, Datadog) integrated with model behavior. Lead major incident response and drive cross-functional war rooms for critical recovery. Ensure AI pipeline resilience through fallback logic, circuit breakers, and context caching. Review and fine-tune inference flows, timeout parameters, latency thresholds, and token usage limits. Drive code-level hotfixes or patches in coordination with Dev, QA, and Cloud Ops. Implement automation scripts for diagnosis, log capture, reprocessing, and health validation. Maintain well-structured GitOps pipelines for support-related patches, rollback plans, and enhancement sprints. Coordinate enhancement requests based on operational analytics and feedback loops. Champion enterprise integration and alignment with Core Banking, ERP, H2H, and transaction processing systems. Build and mentor a high-caliber AI Support Squad support engineers, SREs, and automation leads. Define and publish support KPIs, operational dashboards, and quarterly stability scorecards. Present production health reports to business, engineering, and executive leadership. Define runbooks, response playbooks, knowledge base entries, and onboarding plans for newer AI support use cases. Manage relationships with AI platform vendors, cloud ops partners, and application owners. 12+ years of software engineering, platform reliability, or AI systems management experience. Proven track record of leading support and platform operations for AI/ML/GenAI-powered systems. Strong experience with cloud-native platforms (Azure/AWS), Kubernetes, and containerized observability. Deep expertise in Python and/or Java for production debugging and script/tooling development. Proficient in monitoring, logging, tracing, and alerts using enterprise tools (Grafana, ELK, Datadog). Familiarity with token economics, prompt tuning, inference throttling, and GenAI usage policies. Experience working with distributed systems, banking APIs, and integration with Core/ERP systems. Strong understanding of incident management frameworks (ITIL) and ability to drive postmortem discipline. Excellent stakeholder management, cross-functional coordination, and communication skills. Demonstrated ability to mentor senior ICs and influence product and platform priorities.,

In this internship, we are looking for individuals who are proficient coders and can adeptly solve coding problems. You may be assigned tasks ranging from simple to moderate complexity; however, the key aspect lies in your ability to articulate and explain the code you produce, enabling learners and developers worldwide to comprehend and learn from it. This opportunity will not only enhance your coding skills but also contribute to your research experience. As a Beginner and Intermediate Programmer, you will have the chance to work on assignments and projects of varying difficulty levels, which will allow you to uncover your hidden potential and evolve into a better version of yourself. The internship is entirely remote, offering you the flexibility and convenience of working from home. We prioritize project completion within the specified timeframe over monitoring your working hours. Minimum qualifications required for this role include a degree in Computer Science or a related technical field, or equivalent practical experience. Proficiency in coding using languages such as C, C++, Java, JavaScript, or Python is essential. Preferred qualifications involve experience in various domains such as Algorithms, Artificial Intelligence, Database, Data Mining, Distributed Systems, Machine Learning, Networking, or Systems. A strong foundation in computer science principles, encompassing data structures, algorithms, and software design, is highly valued. Proficiency in Python or JavaScript/AJAX, along with expertise in database design, SQL, and TCP/IP networking, is beneficial. The ability to work independently is also a key requirement. Selected interns will be responsible for: 1. Designing and implementing machine learning, information extraction, probabilistic matching algorithms, and models. 2. Leveraging programming skills and deep learning/AI expertise using Python, TensorFlow, and frameworks like Keras and PyTorch to address real-world challenges. 3. Developing AI solutions in the computer vision domain through the use of convolutional neural networks (CNN) and a blend of deep neural networks like CNN & RNN. 4. Solving object detection, recognition, and image classification issues using machine learning, deep learning algorithms, transfer learning methods, and techniques. 5. Employing innovative and automated strategies for data annotation, labeling, and augmentation, as well as active learning. 6. Providing online code assistance, code mentoring, and education-focused solutions. Ideal candidates for this position: - Should be available for a full-time (in-office) internship - Must commence the internship from 15th Jun'20 - Should commit to a duration of 6 months - Need to possess relevant skills and interests Perks of this position include a Certificate, Letter of recommendation, Flexible work hours, an Informal dress code, working 5 days a week, and access to Free snacks & beverages.,