Lead Engineer Stress Jobs in Bengaluru

Senior Web Application Developer - Front End Developer Location: Bengaluru Job Type: Full-time Responsibilities As a Senior Web Application Developer, you will play a pivotal role in engineering cutting-edge frontend frameworks, platforms, visualizations, and dashboards to deliver a fluid and seamless user experience. Core Development Engineer advanced frontend frameworks and platforms for visualizing complex data, ensuring a top-notch user experience. Collaboration & Visualization Work closely with backend engineering teams to extend product value and virtualize thousands of moving assets as creative UI/UX elements. Build applications to visualize real-time complex data patterns and ensure world-class interfaces and APIs. Design & Architecture Architect modular, high-performance applications and frameworks. Ensure stability and performance through test-driven development, integration, and stress testing. Project Ownership & Stakeholder Interaction Lead projects aimed at enhancing team efficiency and driving modernization. Interface directly with project and product stakeholders, facilitating UAT and incorporating feedback. Requirements Education: Bachelor s degree or higher in Computer Science, Engineering, or equivalent experience. Experience: Minimum 5 years of hands-on experience in frontend development. Technical Skills: Proficiency in JavaScript (5+ years), React.js (3+ years), HTML, CSS, and D3.js. Experience with modern build systems (Webpack, Babel, etc.). Communication: Excellent written and verbal communication skills with a fast execution mindset. Bonus Skills Experience with Google Maps and other cloud APIs. Understanding of SQL database design and modeling. At Intellicar, we encourage a culture of continuous learning and skill development. You'll have opportunities to grow as part of a collaborative team, work with cutting-edge IoT technologies, and contribute to impactful projects in the EV and IoT industry. Leadership fosters inclusivity and respect, creating an atmosphere where every voice is heard. Qualification : Bachelors degree or higher in Computer Science, Engineering, or equivalent experience

QA Engineer Experience: 3 5 Years | Location: Bangalore | Employment Type: Full-Time About SecPod SecPod (Security Podium) is a cybersecurity technology company headquartered in India and the USA. Founded in 2008, SecPod builds innovative security products that help organizations adopt a prevention-first approach to cybersecurity. Role Summary We are looking for a highly motivated QA Engineer with strong expertise in test automation to ensure the quality, reliability, and performance of our cybersecurity products. The role involves owning end-to-end test automation and continuously improving quality processes across the development lifecycle. Key Responsibilities Automation Ownership: Own the design, development, execution, and maintenance of automated test suites. Framework Building: Build and maintain automation frameworks for Web applications, Desktop applications, and REST APIs. Regression Testing: Continuously evaluate test cases for regression coverage and automate newly introduced features. Strategic Testing: Define and implement automation strategies and appropriate test design techniques. Cross-functional Collaboration: Work with Development Leads, Architects, and Product Management to ensure high-quality deliverables. Required Qualifications & Technical Skills Experience: 3 5 years of hands-on experience in test automation. Programming: Proficiency in at least one programming language, preferably Python. Testing Foundations: Strong understanding of the Software Testing Life Cycle (STLC). Automation Expertise: Experience in building and maintaining frameworks for UI and REST API automation. DevOps & Tools: Practical experience with CI/CD pipelines (Jenkins), Test Management, and Defect Tracking tools. System Knowledge: Familiarity with web technologies (HTTP, REST), database concepts, and both Linux and Windows environments. Preferred & Non-Technical Skills Domain Knowledge: Experience in the cybersecurity domain or networking is a strong plus. Soft Skills: Strong analytical and problem-solving skills with a research-oriented approach. Agile Mindset: Ability to adapt quickly to change and collaborate effectively in a team environment. Education: Bachelor s or Master s degree (BE / MCA / M.Tech). Qualification : Bachelors or Masters degree (BE / MCA / M.Tech)

Lead Machine Learning Engineer - NLP Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. You will be shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale millions of interactions daily. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy. What you ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you ll bring to the role Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist. 5+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production. Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development. Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus. Published papers in top NLP/ NLU conferences or workshops are a plus. Relevant open-source contributions are a plus. Perks & Benefits Medical Insurance: Excellent options and free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies. Learning & Development fund to support your continuous learning journey and professional development. Fun events to build culture across the organization. Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.). Qualification : Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU

Lead Software Engineer - Scale & Performance Location: Bengaluru Experience: 6 12 years About VuNet VuNet is a pioneer in Business Journey Observability, using Big Data and Machine Learning to revolutionize digital experiences in the financial services industry. Our platform delivers end-to-end visibility into customer journeys, helping organizations proactively resolve issues, ensure operational resilience, and deliver superior user satisfaction. With over 28 billion digital transactions monitored every month and serving more than 300 million users globally, VuNet is shaping the future of observability for some of the largest banks and financial institutions. We are Series B funded, part of NASSCOM s DeepTech Club, and recognized by global analysts such as Gartner and Omdia. Your Role: Lead Software Engineer - Scale & Performance As a Lead Software Engineer for Scale & Performance, you ll own the performance and scalability benchmarks for VuNet s observability platform. You will work with cutting-edge technologies, design robust test frameworks, and ensure that our platform scales seamlessly to meet the demands of millions of users. Roles & Responsibilities Own performance and scalability benchmarking for key platform components (ingestion pipelines, data storage, and query services). Design and execute load, stress, soak, and capacity tests across microservices, agents, and ingestion layers. Identify and resolve performance bottlenecks in both infrastructure (CPU/memory/IO) and application layers (API latency, throughput, GC behavior). Develop and maintain performance test frameworks, preferably using Kubernetes-based environments. Collaborate with DevOps and SRE teams to optimize system configurations (Kubernetes, Postgres/TimescaleDB, ClickHouse, Kafka) for scale. Implement OpenTelemetry for service instrumentation to monitor system health and latency (p50/p95/p99 metrics). Contribute to capacity planning, scaling strategies (horizontal/vertical), and resource optimization. Analyze production incidents related to scaling issues and drive permanent fixes. Work with engineering teams to design scalable architecture patterns and define SLIs/SLOs for system performance. Document performance baselines, tuning guides, and scalability best practices for internal use. What You Bring Mandatory Skills: Strong background in performance engineering for large-scale distributed systems or SaaS platforms. Expertise in Kubernetes, container runtimes (containerd/Docker), and resource profiling in containerized environments. Solid understanding of Linux internals, CPU/memory profiling, and network stack tuning. Hands-on experience with observability tools (Prometheus, Grafana, OpenTelemetry, Jaeger, Loki, Tempo, etc.). Familiarity with observability platform datastores like ClickHouse, PostgreSQL/TimescaleDB, Elasticsearch, or Cassandra. Experience with performance benchmarking tools such as k6, Locust, JMeter, or custom Golang/Python scripts. Ability to interpret system metrics (CPU usage, memory, GC, latency) and correlate across different layers. Nice-to-Have Skills: Experience with agent benchmarking (OpenTelemetry Collector, custom data shippers). Exposure to streaming systems like Kafka, NATS, or Pulsar. Familiarity with CI/CD pipelines for performance testing and regression tracking. Knowledge of cost optimization and capacity forecasting in cloud environments (AWS/GCP/Azure). Proficiency in Go, Python, or Bash scripting for automation and data analysis. Life at VuNet: At VuNet, we're building a world-class observability platform, and we re just getting started. You ll be part of a passionate, problem-solving team that embraces collaboration, fast learning, and staying ahead of emerging technologies like Gen AI. We foster a high-trust, inclusive culture where collaboration, ownership, and innovation are central to our success. If you're looking to work on cutting-edge tech, make a real impact, and grow with a supportive team you ll fit right in at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A culture that promotes continuous learning, innovation, and career growth. Transparent, inclusive, and high-trust workplace. Opportunities for skill enhancement with training programs focused on new Gen AI technologies.

Senior QA Engineer - AI-Powered Observability Platform Location: Bengaluru Experience: 6 10 years About VuNet VuNet is at the forefront of Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our deep-tech platform provides comprehensive visibility into customer journeys, enabling proactive issue resolution, operational resilience, and superior user experiences. We monitor over 28 billion digital transactions monthly, serving 300 million users globally, and we re powering some of the largest banks and financial institutions in India and MEA. VuNet is Series B funded, part of NASSCOM s DeepTech Club, and recognized by analysts like Gartner and Omdia. Your Role: Senior QA Engineer - AI-Powered Observability Platform As a Senior QA Engineer at VuNet, you ll play a crucial role in ensuring the quality and reliability of our VuSmartMaps Observability Platform. You ll lead the design and implementation of cutting-edge test automation, performance validation, and reliability frameworks across distributed systems that handle billions of telemetry events. Working closely with development, operations, and QA teams, you will drive quality across the entire platform and play a key role in ensuring that our systems are scalable, resilient, and performant. Roles & Responsibilities Quality Strategy Ownership: Own the end-to-end quality strategy for observability platform components (metrics, logs, tracing, alerting, dashboards, MLOps). Automated Testing: Build and maintain automated test suites for data pipelines, APIs, and integration flows involving tools like Prometheus, Grafana, Loki, Elastic, and OpenTelemetry. Performance Validation: Design and execute tests to validate high-throughput, distributed systems under real-world load conditions, ensuring performance benchmarks are met. Test Frameworks Development: Develop and maintain test frameworks and tools using Python, Go, Bash, pytest, k6, Playwright, and others. System Reliability & Alerting: Define and implement test coverage for system reliability, alerting accuracy, and visualization correctness. Collaboration: Partner with developers, SREs, and DevOps teams to shift quality left in the development lifecycle, contributing to CI/CD pipelines and automation workflows using GitOps tools. Automation Integration: Integrate automated test suites into smoke, functional, and regression pipelines using Jenkins, Spinnaker, and other CI/CD tools. Mentorship: Mentor junior QA engineers, establish best practices, and ensure consistency in the QA discipline across the team. What You Bring Mandatory Skills: Experience: Minimum 6+ years in software quality engineering, with a focus on automated testing, performance, and reliability. Scripting/Programming: Proficiency in at least one scripting or programming language (JavaScript, Python, Go). CI/CD Systems: Experience with CI/CD systems such as GitHub Actions, Jenkins, or ArgoCD. Debugging Skills: Excellent debugging skills and the ability to analyze code quality and system performance. Distributed Systems Knowledge: Familiarity with Kafka, Kafka Streams, ClickHouse DB, and distributed systems. Kubernetes & Microservices: Strong experience testing Kubernetes-native systems, Helm deployments, and microservices. Observability Tools: Knowledge of observability tools like Prometheus, Grafana, Elastic Stack, OpenTelemetry, Loki, or Jaeger. Tooling & Deployment: Proficiency in Jenkins, Spinnaker, GitOps, Kubernetes, and Docker. Testing Experience: Hands-on experience in various types of testing (functional, performance, load, etc.) and knowledge of testing tools. Documentation Skills: Ability to create clear documentation (e.g., release notes, troubleshooting guides, and migration guides). Nice-to-Have Skills: Performance Testing: Experience designing and executing performance and load testing for high-traffic applications. Web Services & Systems Design: Understanding of web services and distributed systems architecture. Cross-Functional Communication: Excellent communication skills with the ability to coordinate across multiple teams. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India and we re just getting started. Join a passionate team of problem-solvers who love tackling complex challenges and stay ahead of the curve with technologies like Gen AI. We offer an environment where collaboration, innovation, and learning are at the core of everything we do. You ll have the opportunity to work on cutting-edge technologies and make a real impact on a product that powers leading banks and financial institutions globally. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness support and 1:1 counseling. A learning culture that promotes growth, innovation, and ownership. Transparent, inclusive, and high-trust workplace culture. Exposure to Gen AI and integrated technology workspaces. Support for career development with various training programs to enhance your skills and expertise.

Lead Machine Learning Engineer Location: Bangalore | Employment Type: Full-time About the Role We are seeking a talented and driven Lead Machine Learning Engineer to join Avaamo s Product Engineering team. In this role, you will have the opportunity to shape and enhance the core features of our search technology stack, focusing on areas like search ranking models, query understanding, and natural language question answering. What You ll Do Innovate and expand the capabilities of our search stack, including ranking models, query parsing, and NLP-driven question answering. Gain a deep understanding of search usage patterns and user needs, identifying areas for improvement and growth. Design, prototype, and iterate on cutting-edge ML/NLP/Information Retrieval solutions to enhance our search functionality. Develop and optimize an experimentation framework to evaluate and track improvements to the search stack. Write clean, efficient, and maintainable code that is easy to test and scale. Mentor junior engineers, fostering a collaborative learning environment and sharing your expertise. What You Bring (Qualifications) A BS in Computer Science or a related field. 5+ years of hands-on experience in machine learning, NLP, or related fields. Strong analytical and data-driven mindset, with the ability to extract insights and build effective solutions. Experience in recommendation systems, natural language processing, LLMs, applied machine learning, or large-scale search/ranking systems. Key Skills & Qualities Collaborative, customer-focused, and team-oriented, with a willingness to contribute across multiple areas of the product. Proactive, positive, and self-driven, with the ability to take ownership of both small tasks and large features. Proven experience in designing and building complex search/ranking/recommendation systems. Strong proficiency in Python programming. About Avaamo Avaamo is a deep-learning software company that focuses on creating advanced conversational interfaces to solve high-impact problems in the enterprise space. We are at the forefront of AI technologies, working on neural networks, speech synthesis, and deep learning to transform how enterprises engage with conversational computing. Qualification : BS in Computer Science or a related field

Lead Platform Engineer Observability Solutions Location: Bengaluru Experience: 6 10 Years Function: Observability Engineering | Platform Architecture | SRE Enablement Join VuNet Redefining Digital Observability at Scale VuNet is transforming the future of digital experiences through Business Journey Observability, combining Big Data and AI/ML to empower real-time visibility across payments, banking, and financial services. Monitoring 28+ billion transactions/month, our platform is trusted by top financial institutions and powers over 300 million users. Backed by Series B funding and recognized by Gartner, NASSCOM, and Forbes, we are leading the charge in building a new category of observability, proudly Made in India for global impact. Your Role: Lead Platform Engineer As the Lead Platform Engineer, you will architect and drive the development of packaged observability solutions across 100+ infrastructure and application technologies. You will define **golden signals**, build **data collection strategies**, and lead the standardization of alerts, dashboards, and RCA workflows for platforms like **Kubernetes, Oracle DB, and Tomcat**. This is a cross-functional leadership role that sits at the intersection of product, platform, DevOps, and SRE. You will **lead a team** and influence how observability is delivered, scaled, and adopted across complex environments. Key Responsibilities Observability Solution Development Design and lead the delivery of observability packages for databases, middleware, cloud-native, and legacy platforms. Define and implement data collection pipelines, including agents, APIs, logs, metrics, traces, and service discovery. Establish **golden signals, SLIs/SLOs**, and health KPIs for performance, availability, and anomaly detection. Dashboards, Alerts & RCA Develop standardized, reusable dashboards, alerts, reports, and troubleshooting playbooks. Automate **RCA workflows** to improve MTTR and reduce alert fatigue. Platform Enablement & Integration Work with engineering to enhance agent capabilities and support new data sources/formats. Guide implementation of platform features for better observability at scale. Team Leadership & Governance Lead and mentor a team of observability engineers and specialists. Define design patterns, reusable modules, and version-controlled libraries. Stakeholder Collaboration Partner with product managers, DevOps, SREs, and customer teams to gather requirements, align priorities, and validate use cases. Ensure deliverables are scalable, well-documented, and production-ready. What You Bring Must-Have Skills 6 10 years of experience in observability, platform engineering, or SRE roles. Hands-on with tools like Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, Splunk. Strong understanding of logs, metrics, traces, profiling, and collection strategies. Experience developing solutions for platforms like Kubernetes, Oracle, PostgreSQL, Tomcat, etc. Proficient in Python, Shell scripting, APIs, and automation tools (**Terraform**, etc.). Familiar with alert fatigue mitigation, anomaly detection, and RCA frameworks. Excellent communication, technical leadership, and documentation skills. Nice to Have Experience managing an observability marketplace or solution catalog. Contributions to open-source observability projects. Certifications in Kubernetes, Observability platforms, or cloud providers (AWS/GCP/Azure). Background in ITSM tools, CMDBs, or incident workflow automation. At VuNet, you ll help build a category-defining observability platform that s already transforming critical infrastructure for leading financial institutions. You ll work with passionate engineers, push technical boundaries, and grow in a high-trust, high-impact environment. What You ll Experience: Ownership of key observability initiatives impacting 300M+ users. Collaboration with SRE, DevOps, and product teams across real-time financial systems. Opportunity to experiment with and shape Gen AI, ML, and emerging telemetry trends. Perks & Benefits Health insurance for you, your parents, and dependents. 1:1 mental wellness support. Training programs, certifications, and career growth opportunities. Transparent, inclusive, and high-trust work culture. Access to cutting-edge technology and Gen AI-powered workspaces.

Lead Fullstack Engineer Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we thrive in a fast-paced, intellectually rigorous environment where we solve real-world business problems at scale. By combining advanced analytics, data science, and machine learning, we unlock powerful insights and build cutting-edge, patentable technology products that drive innovation and impact. Team Overview: Machine Learning Experiences (MLX) The MLX team is at the core of Capital One s AI/ML transformation. We re shaping the way the enterprise builds, deploys, and monitors ML models and features providing the tools and platforms that enable every business line to deliver AI-powered experiences. From platform onboarding to observability, MLX sets the foundation for responsible, scalable machine learning across Capital One. Role Overview We are seeking a Lead Fullstack Engineer to architect and develop scalable, cloud-native applications that power our ML platforms. You ll be responsible for leading technical initiatives, mentoring team members, and driving the development of full-stack systems with a primary focus on Python and Go, and a working proficiency in React. This is a hands-on leadership role requiring deep cloud expertise (AWS), backend scalability know-how, and familiarity with ML observability concepts. What You ll Do Lead cross-functional teams on full-stack development projects that support machine learning platforms and observability tools. Design and develop robust applications using Python, Go, and React, adhering to scalable and maintainable coding principles. Architect cloud-native solutions on AWS, leveraging services such as Lambda, ECS, S3, DynamoDB, SQS, and IAM. Implement and optimize CI/CD pipelines, containerization with Docker/Kubernetes, and other DevOps best practices. Work closely with ML engineers and data scientists to enhance observability and monitoring for ML models in production. Utilize open-source frameworks to accelerate development and maintain system performance. Collaborate with product managers to deliver user-centric, cloud-based solutions that drive real customer impact. Conduct code reviews, mentor engineers, and maintain high technical standards across the team. Contribute to backend optimization, API development, and integration with real-time data systems. Required Qualifications 7 10 years of experience in software development, with a strong background in backend and full-stack systems. Expertise in Python and Go; strong ability to build scalable, maintainable systems. Proficiency in React for frontend development (medium level). Hands-on experience with AWS services such as Lambda, ECS, S3, DynamoDB, IAM, and SQS. Experience with ML observability frameworks and tools. Knowledge of open-source development frameworks and cloud architecture patterns. Proficiency in CI/CD, containerization (Docker, Kubernetes), and modern DevOps practices. Strong problem-solving abilities and a track record of leading technical initiatives in agile environments. Preferred Qualifications Experience monitoring ML models in production and integrating observability tools. Knowledge of event-driven architecture and microservices. Familiarity with GraphQL, WebSockets, and real-time data communication. Understanding of data streaming architectures and processing pipelines. Why Join Capital One Be part of a team building enterprise-scale platforms that power ML for millions of customers. Work on impactful, cloud-native solutions in a collaborative and high-growth environment. Collaborate with world-class engineers, data scientists, and product leaders. Enjoy a culture that values experimentation, learning, and technical excellence.

Job Title: Lead / Senior Software Engineer (Microservices, IoT, Kafka, AWS) Location: Bengaluru Experience Required: 5 8 years Industry: Automotive (Electric Mobility) Employment Type: Full-time About Ultraviolette Join the Charge. Create the Future. At Ultraviolette, we re not just building electric vehicles we re redefining what mobility looks and feels like. From creating India s fastest electric motorcycle to designing the world s most advanced electric scooter, we're on a mission to engineer machines that are not only sustainable, but also exhilarating. Our team is a diverse mix of engineers, designers, dreamers, and doers, united by a bold vision to accelerate the global shift to electric mobility. If you're driven by innovation and looking to work on cutting-edge products that challenge the status quo, this is your platform to make a real impact. About the Role We are looking for a Senior/Lead Software Engineer who thrives in designing scalable, high-performance, and cloud-native microservices. This role is ideal for someone with hands-on experience in Java, Spring Boot, Kafka, and AWS, and a keen interest in IoT and real-time data architectures. You will work at the intersection of hardware and software helping us bring our vision of connected, intelligent, and high-performance electric vehicles to life. Key Responsibilities Design, develop, and deploy Java-based microservices using Spring Boot and related technologies. Architect and implement event-driven systems using Apache Kafka for real-time IoT data streaming. Build and manage RESTful APIs with AWS API Gateway for seamless service integration. Leverage AWS services such as Lambda, DynamoDB, and MemoryDB to build scalable, serverless solutions. Collaborate with cross-functional teams front-end developers, DevOps, and product managers to convert ideas into working features. Optimize application performance, troubleshoot issues, and ensure high reliability and availability. Mentor junior engineers, conduct code reviews, and enforce clean coding practices. Contribute to architecture decisions, technical roadmaps, and innovation initiatives. Stay on top of emerging technologies in cloud, microservices, and IoT ecosystems. Participate actively in Agile processes including sprint planning, stand-ups, and retrospectives. Required Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in Java development, with a strong foundation in Spring Boot. Proven experience designing and deploying microservices architectures. Strong knowledge of Kafka and real-time streaming/data pipeline architectures. Hands-on experience with Docker and Kubernetes for containerization and orchestration. Understanding of IoT protocols such as MQTT or CoAP and device connectivity. Proficiency with version control (Git) and Agile methodologies. Excellent problem-solving, communication, and collaboration skills. Nice to Have AWS Certifications (e.g., AWS Certified Developer or Solutions Architect). Experience with additional languages like Python or Rust. Familiarity with NoSQL databases such as MongoDB or Cassandra. Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (e.g., Terraform). Exposure to stream processing frameworks (e.g., Apache Flink, Spark Streaming). Experience in edge computing and distributed systems. Strong understanding of cloud security best practices. Work on India s most futuristic electric vehicles at the intersection of technology, performance, and sustainability. Be part of a mission-driven company shaping the future of mobility. Collaborate with some of the most talented engineers and designers in the industry. A fast-paced environment that celebrates innovation, learning, and growth. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Director Quality Engineering Experience: 15 20 years Location: Bengaluru Team: Engineering About CoinDCX At CoinDCX, we believe Change Starts Together. We are on a mission to make Web3 accessible to all, building cutting-edge products that solve real-world challenges in security, scalability, and user accessibility. In just six years, we ve transformed from India s first crypto unicorn to a platform serving over 125 million users worldwide. As we accelerate Web3 adoption, we are looking for visionary leaders to help us maintain world-class quality and performance standards. Role Overview As Director of Quality Engineering, you will lead and scale our QA and Performance Engineering functions to ensure the reliability, scalability, and security of our fintech products. You ll be responsible for driving the quality strategy across large-scale distributed systems and building a high-performing team passionate about excellence. What You ll Do Leadership & Strategy Lead and grow a team of 50+ QA, automation, and performance engineers. Define and execute a long-term quality engineering strategy aligned with business goals and regulatory requirements. Foster a culture of ownership, accountability, and continuous improvement. Quality Engineering Champion an automation-first approach across functional, regression, and integration testing. Oversee end-to-end validation for core product flows including trading, payments, custody, and compliance. Own testing strategies for microservices architectures and high-throughput APIs. Performance & Scalability Lead performance testing initiatives designed to support systems handling over 1 million TPS with sub-50ms latency. Develop frameworks for continuous performance benchmarking and capacity planning. Collaborate with SRE, DevOps, and Product Engineering to identify and mitigate performance bottlenecks. Non-Functional Testing Ensure comprehensive coverage for reliability, availability, failover, disaster recovery, and security. Drive chaos testing, fault injection, and compliance-related quality assurance processes. Collaboration & Stakeholder Management Partner with Product, Platform, Security, and Compliance teams to align quality standards with regulatory mandates. Provide executive reporting on quality, system resilience, and risk metrics. Influence cross-functional adoption of best practices in testing and release validation. What You Bring Experience 15+ years in QA and Performance Engineering, with at least 5 years in senior leadership roles. Proven experience managing large, high-growth fintech or financial services engineering teams (50+ members). Technical Expertise Deep expertise in testing large-scale distributed systems. Strong knowledge of performance, load, stress, soak, and chaos testing frameworks. Familiarity with cloud-native environments (AWS, Kubernetes), CI/CD pipelines, and observability tools. Domain Knowledge Extensive background in fintech or financial services (trading, payments, banking). Strong understanding of regulatory and compliance requirements in financial applications. Leadership & Soft Skills Exceptional people leadership, mentoring, and organizational scaling capabilities. Excellent stakeholder management with the ability to influence senior engineering and business leaders. Strategic, data-driven decision-making mindset. You re passionate and constantly curious about Web3 and Virtual Digital Assets (VDA). You act with ownership, drive excellence, and focus on measurable impact. You embrace a We over Me philosophy empowering your team as you grow. Change excites you and fuels your innovation mindset. You think beyond limits, challenging the status quo to push boundaries. Perks That Empower You Design Your Own Benefit: Personalize your perks to fit your lifestyle whether it s tech, travel, or pets, your priorities come first. Unlimited Wellness Leaves: Take time off as needed to recharge your health matters most. Mental Wellness Support: Access free counseling, expert sessions, workshops, and social events to stay balanced. Bi-Weekly Learning Sessions: Sharpen your skills and stay current with ongoing industry trends and knowledge. Join Us If you re ready to lead a high-impact team and help build the future of Web3 quality engineering we want to HODL you on our team!

Position: Senior Test Engineer Location: Bangalore Education: B.E./B.Tech. in Electronics & Communication (EC) Experience: 4 to 10 Years Key Skills & Expertise Strong experience in testing, troubleshooting, and debugging complex PCBAs and electronic subsystems. Proficient in analyzing and working with FPGAs, processors, DDR memory, and ADC components. Skilled problem solver with the ability to think creatively and troubleshoot effectively. Hands-on experience with testing equipment such as oscilloscopes, spectrum analyzers, function generators, power meters, and other test instruments. Familiarity with programming tools and materials/component specifications. Excellent communication skills for customer interaction regarding queries and status updates. Proven team player with the ability to train and mentor junior engineers. Deep understanding of engineering principles and product design, with keen attention to detail. Job Responsibilities Test, troubleshoot, and debug complex PCBAs and electronic subsystems incorporating FPGAs, processors, DDRs, and ADCs. Analyze and comprehend complete test procedures and parameters; develop customized test procedures tailored to FPGA, processor, and ADC boards and subsystems. Lead qualification and environmental stress screening (ESS) tests, coordinating efforts with engineering teams and customers. Design and implement straightforward yet comprehensive quality-check processes to ensure optimal product performance. Collaborate with cross-functional teams to resolve issues and improve testing methodologies. Provide training and guidance to team members, fostering a culture of continuous learning and improvement. Qualification : B.E./B.Tech. in Electronics & Communication (EC)

Performance Engineer Location: Bengaluru (Whitefield) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation through AI and data. Our flagship products include Cognite Atlas AI and Cognite Data Fusion (CDF), empowering industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing to harness data at scale. Recognized with multiple industry awards, including 2022 Technology Innovation Leader and 2024 Microsoft Energy & Resources Partner of the Year, we lead the way in innovative industrial solutions. Our Values Impact: Deliver meaningful outcomes with focus and purpose. Ownership: Take initiative, embrace responsibility, and collaborate inclusively. Relentless: Innovate persistently, learn from challenges, and improve continuously. Role & Responsibilities Design, develop, and execute performance and load tests to ensure system scalability, stability, and reliability of Cognite SaaS products. Identify performance bottlenecks and provide actionable insights for improvement. Build and maintain testing frameworks, scripts, and tools to support performance testing initiatives. Collaborate closely with engineering teams to align testing strategies with system architecture. Monitor production system performance and assist in root cause analysis of performance issues. Share performance optimization best practices via documentation, training, and team discussions. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related fields. 3-5 years of experience in performance testing and engineering, preferably in SaaS environments. Proficiency with performance testing tools such as JMeter, Gatling, LoadRunner, BlazeMeter, or equivalents. Strong understanding of CI/CD pipelines and container technologies like Kubernetes and Docker. Solid programming skills in Java, Python, or similar languages. Experience with databases like PostgreSQL. Familiarity with performance monitoring and analysis tools such as Grafana and Prometheus. Preferred Skills Agile methodology experience and working in globally distributed teams. Expertise testing large-scale systems and handling high-volume data loads. Knowledge of React and JSON for test data creation and API performance testing. Diverse global community with 70+ nationalities and strong DEI focus. Modern, vibrant office in Whitefield, Bengaluru with hybrid work culture. Flat organizational structure with direct access to leadership and minimal bureaucracy. Collaborate with world-class talent on ambitious and impactful industrial tech projects. Engage with the wider Cognite community through HUB conversations and partnerships. Make an Impact Join Cognite to help build scalable, high-performing SaaS solutions that empower industrial enterprises globally. We welcome candidates from all backgrounds to apply. Qualification : Bachelors or Masters degree in Computer Science, IT, or related fields.

Senior Lead Engineer Structural Analysis (Hybrid) Location: Bangalore, Karnataka, India Job Type: Full-time Company: Collins Aerospace (Raytheon Technologies) Experience: 5 8 years Job Overview We re looking for a Senior Lead Engineer (Stress) to join our Advanced Structures business unit. This role leads structural analysis for New Product Introduction, redesign, and technology programs. Support includes a wide range of aerospace components including ETRAS systems. Responsibilities Lead stress analysis using FEA tools (Ansys) and classical hand calculations. Prepare structural analysis documentation, stress reports, and certification data. Collaborate with design, manufacturing, and quality teams. Investigate failures and provide technical resolutions. Contribute to process improvements, automation, and tool development. Ensure on-time and quality delivery of engineering work products. Basic Qualifications Bachelor s/Master s in Mechanical or Aerospace Engineering. 5 8 years of structural analysis experience using Ansys Workbench. Strong background in fatigue, stress, and vibration analysis. Skilled in classical calculations and report writing. Preferred Qualifications Experience in hydraulic/electro-mechanical component analysis. Proficiency with Mathcad, Python, or Excel VBA. Familiarity with aerospace material properties and treatment processes. Benefits Transportation & meal vouchers Group life, health, and personal accident insurance 18 days vacation + 12 days contingency leave National Pension Scheme and car lease options Employee scholar program Equal Opportunity Collins Aerospace is an equal opportunity employer and values diversity. All qualified applicants will receive consideration without regard to race, gender, disability, or veteran status. Apply Now Be part of our aerospace revolution. Apply today and help us redefine flight for the future.

Job Description: Experience in Low & High voltage w/h Creation of 3D CAD models for Electrical Routing, Schematic, Sheet metal or plastic components, PDM & PLM exposure. Experience with Automotive product development. Good in NX wiring harness, Electrical Routing & Sheetmetal & Part modeling module. Educational Qualification: BE / ME / B.Tech /M.Tech Number of Positions: 2 Qualification : BE / ME / B.Tech /M.Tech

Job Title: Performance Engineer (Full Stack) Location: Pune, India Company: Blue Yonder Experience: 4 to 9 years Education: Bachelor s Degree in Computer Science, Engineering, or a related field About Blue Yonder Blue Yonder is a leading AI-driven Global Supply Chain Solutions provider, recognized by Glassdoor as one of the Best Places to Work. We design innovative solutions that power intelligent supply chains and transform global commerce. We are seeking a talented and experienced Performance Engineer with expertise in Java, Spring Boot, React, and open-source technologies. If you have a passion for clean code, automation, and performance engineering, we want you on our team. Scope of the Role You will play a critical role in the engineering team, working hands-on to design, develop, test, and optimize performance for Java-based applications deployed both on-premises and on-cloud. This role involves close collaboration with developers, testers, and stakeholders to ensure performance requirements are met and bottlenecks are eliminated. Key Responsibilities Develop quality software according to clean code principles and Blue Yonder standards. Write effective performance test cases and develop automation utilities for performance testing. Collaborate on the design and development of skeleton/stub components for successful integration testing. Analyze performance test results, report defects, and document findings through comprehensive performance test reports. Participate in design reviews, ensuring performance considerations are built into application architecture. Mentor junior team members in performance testing best practices. Gather and validate Non-Functional Requirements (NFRs) from customers and stakeholders. Proactively participate in project status meetings and offer performance-related insights. Technical Environment Performance Testing Tools: JMeter (expertise required) Programming: Java, Data Structures, Shell Scripting Operating System: Linux (Ubuntu preferred) Monitoring Tools: Telegraph, InfluxDB, Grafana Diagnostics: Thread dump analysis, GC log analysis, Heap dump analysis Architecture: Microservices, REST APIs, Reactive Applications Cloud: Azure (or equivalent cloud platforms) Must-Have Skills 4-9 years of experience as a Performance Tester/Engineer on Java-based applications. Expertise in JMeter for performance test automation. Strong understanding of performance metrics for certifying Java applications. Deep knowledge of Linux performance commands and shell scripting. Experience with application monitoring tools like Telegraph, InfluxDB, Grafana. Strong analytical and problem-solving skills with a proactive, self-motivated work style. Excellent communication skills (both written and verbal). Good to Have Skills Hands-on development experience with Java and Data Structures. Familiarity with SQL and databases. Experience with application servers such as Tomcat or Netty. Knowledge of REST API design and testing. Exposure to Azure or other cloud platforms. Experience with distributed tracing (Zipkin, etc.). Hands-on with data analysis tools like Python/R and Kafka. Experience with Glowroot and Flame Graphs for diagnostics. Familiarity with Hazelcast, Redis, or other IMDG (In-Memory Data Grid) solutions. Understanding of E-commerce and Retail domain is a plus. Hands-on experience with Cassandra or other NoSQL databases. Basic understanding of Kubernetes architecture and administration. Collaborate with a global team working on cutting-edge supply chain solutions. Be part of an inclusive, innovative, and diverse workplace. Work on modern technologies and drive impactful performance optimizations. Opportunities to learn, grow, and mentor others in your area of expertise. Diversity, Inclusion, Value & Equity (DIVE) At Blue Yonder, we foster an inclusive environment where everyone belongs. We encourage applicants from all backgrounds to apply and contribute to our diverse community. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Qualification : Bachelors Degree in Computer Science, Engineering, or a related field

Job Title: Senior Software Development Engineer in Test (SDET) Location: Bangalore, India (Office-based role) About Couchbase: As industries race to embrace AI, traditional database solutions fall short of the growing demands for versatility, performance, and affordability. Couchbase is leading the way with Capella, the developer data platform for critical applications in the AI-driven world. By uniting transactional, analytical, mobile, and AI workloads into a seamless, fully managed solution, Couchbase empowers developers and enterprises to build and scale applications with unmatched flexibility, performance, and cost-efficiency from cloud to edge. Trusted by over 30% of the Fortune 100, Couchbase is unlocking innovation, accelerating AI transformation, and redefining customer experiences. Come join our mission! Job Overview: Couchbase is expanding rapidly, and our Engineering and Cloud teams are at the heart of this growth. As a Senior Software Development Engineer in Test (SDET), you will be a key contributor to ensuring high quality across our data infrastructure systems. You will collaborate closely with engineering teams to optimize test frameworks in Python/Golang, scaling them to handle larger workloads under stress and heavy load. This role provides an exciting opportunity to contribute to the growth and development of our products and to shape the future of our testing and automation strategies. Responsibilities: Automation & Test Framework: Lead the design, implementation, and maintenance of automation and test frameworks to support large-scale data infrastructure systems. Scaling Systems: Optimize test frameworks (Python/Golang) to handle systems under large scale, high load, and stressful conditions. Component Testing: Drive testing across multiple components, including API interfaces, databases, storage, file systems, and OS-level functionality. Environment Configuration: Set up and configure test environments, including Windows and Linux OS, networking, proxies, and client-server tests. Collaboration: Work with cross-functional teams to ensure quality testing and continuous improvement of products through integrated automated testing. Analysis & Reporting: Provide in-depth analysis and generate clear, actionable reports on test results, issues, and areas for improvement. Problem-Solving: Identify and resolve complex testing issues in a timely manner, demonstrating self-motivation and keen analytical skills. Communication: Maintain strong communication with both technical and non-technical teams to provide clarity on testing outcomes, issues, and resolutions. Requirements: Experience: 4 to 6 years of hands-on experience in automation and test framework implementation. Programming Skills: Proficiency in Python, C/C++, Java, or Golang. Testing Expertise: Demonstrated experience testing APIs, databases, storage systems, file systems, and operating systems. Technical Understanding: Good understanding of large-scale distributed systems, relational/NoSQL databases, OS concepts, and networking. Test Environments: Experience configuring test environments and working with infrastructure as a service (IaaS) across Windows and Linux OS. Problem-Solving & Analytical Skills: Strong attention to detail, excellent problem-solving skills, and curiosity for identifying and addressing complex issues. Collaboration: Ability to thrive in a fast-paced environment and work effectively within a team. At Couchbase, we reimagine database technology to enable modern, flexible, and cost-effective applications that drive premium customer experiences. Our Capella platform delivers cutting-edge solutions, empowering businesses to rapidly build applications that scale with performance and flexibility. Benefits at Couchbase: Generous Time Off Program: Flexibility to care for yourself and your family. Wellness Benefits: A variety of world-class medical plans, dental, vision, life insurance, and employee assistance programs. Financial Planning: RSU equity program, ESPP, retirement planning, and business travel insurance. Career Growth: We value your contributions and provide opportunities to grow and make an impact. Fun Perks: Ergonomic office setup, food & snacks for in-office employees, and more!

Senior Engineer - Quality Engineering (Apparel and Retail) About the Role: We are seeking a highly motivated and experienced Senior Engineer - Quality Engineering to join our team within the Apparel and Retail domain. This role requires 9-13 years of experience and a strong background in leading and managing quality engineering processes to ensure high-quality software products. The ideal candidate will develop and implement quality assurance strategies, test plans, and test cases utilizing SQL, SDET practices, Java, REST APIs, and data access skills. Collaboration with cross-functional teams, automation of test cases using Selenium and Python, mentoring junior engineers, leading automation efforts, and driving continuous improvement in quality engineering practices are also key responsibilities. Staying current with industry trends is essential. Responsibilities: Lead and manage the quality engineering process, ensuring the delivery of high-quality software products. Develop and implement quality assurance strategies, test plans, and test cases. Utilize SQL, SDET practices, Java, REST APIs, and data access skills to conduct thorough testing. Collaborate with cross-functional teams to improve testing processes and enhance product quality. Automate test cases using Selenium and Python. Mentor and coach junior quality engineers. Lead automation efforts to streamline testing procedures and enhance test coverage. Drive continuous improvement in quality engineering practices. Stay updated on industry trends and best practices. Conduct code reviews and ensure adherence to quality standards. Qualifications: Bachelor of Technology (B.Tech) in Computer Science Engineering or Master of Technology (M.Tech) in Software Engineering. 9-13 years of extensive experience demonstrating advanced proficiency in SQL, SDET practices, Java programming, REST API development, and data access mechanisms. Deep understanding and practical application of each of these core skills. Preferred Qualifications: ISTQB Certified Tester certification. AWS Certified Solutions Architect certification. Experience with automation testing using Selenium with Python. About Altimetrik: Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infusing speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful. Altimetrik helps companies get unstuck . We re a technology company that gives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organizations talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) in Computer Science Engineering or Master of Technology (M.Tech) in Software Engineering

Job Title: Quality Assurance (QA) / Test Developer IBM Introduction At IBM, work is more than just a job it s a mission. Whether you re building, designing, coding, consulting, or innovating, we empower you to push boundaries and solve some of the world s most complex challenges. If you re ready to lead in this new era of technology, let s talk! Your Role and Responsibilities As a Quality Assurance (QA) / Test Developer, you will play a critical role in improving software reliability by identifying potential weak spots, inefficiencies, and issues. You will collaborate with development teams and test engineers to deliver high-quality software products that meet rigorous quality standards, budgets, and timelines. Key Responsibilities: Develop test plans and execute test cases to ensure software quality. Perform automation testing using Java and JUnit frameworks. Conduct API testing and API automation. Integrate test automation into CI/CD pipelines. Work in an Agile development environment, collaborating with cross-functional teams. Ensure DataPower gateway software meets the high standards required by major global enterprises, including banks, airlines, and insurance providers. Troubleshoot and resolve complex software quality issues. Required Technical and Professional Expertise 5+ years of experience in Software Quality Assurance or Test Development. Strong Java programming skills with expertise in OOP concepts. Hands-on experience in API testing and automation. Strong knowledge of manual software testing concepts. Excellent problem-solving skills with a structured approach to tackling issues. Ability to collaborate with development teams to enhance software quality. Preferred Technical and Professional Expertise 8+ years of experience in QA/Test Development. Exposure to Linux-based environments and IBM DataPower. Strong Java OOPs knowledge with experience in JUnit framework. Hands-on experience in API testing and automation. Ability to work in a fast-paced, distributed global team environment. Work on cutting-edge technologies in a collaborative and dynamic environment. Contribute to products used by some of the largest global enterprises. Be part of an organization that values innovation, growth, and career development. If you are passionate about software quality and automation testing, we encourage you to apply and be a part of IBM s exciting journey!

Overview The Microsoft Azure Storage team is looking for a Senior Software Engineer - Azure Storage with design, coding, and testing skills, to develop strategy and automation to validate Azure's massive distributed storage system. We are looking for talented Senior Software Engineer - Azure Storage who are customer obsessed and passionate about creating high quality end to end experiences that delight customers. You will have an opportunity to make high impact changes on a daily basis as you work on a hyperscale storage system that may indirectly or directly be used daily by your friends and family. 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. Qualifications Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, or C# OR equivalent experience. 3+ years of experience in developing software/drivers for Windows PCs or Embedded systems. 3+ years of experience with Windows Kernel debugging, Windbg Debug Extensions, and auto analysis 3+ years of experience building scalable, distributed services. Familiarity with engineering build tooling and automation at scale. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Additional / Preferred Qualifications: Experience with a large scale storage, high quality code, distributed systems, and cloud services. Competent in software engineering practices, coding and foundation in data structures, algorithms with testing, debugging and analytical skills. Knowledge of UMDF/KMDF driver fundamentals and knowledge of new hardware platform enablement and bring-up activities. #Azurecorejobs Responsibilities Design, develop and operate scalable, low latency and high throughput cloud services and frameworks to stress storage backend. Work on complex and critical cloud scale storage features integration. Play a crucial role in the product quality by designing end to end scenario validation. Develop software and infrastructure for new hardware storage solutions (Windows Drivers, Windows services, fault analysis automation, performance analysis). Experiment, study and analyze the system behavior, health under different load conditions. Take an active role and partner with peer teams and external partners to ensure new storage features meeting target availability, security and reliability. Drive cross organization Quality initiatives to streamline release quality gates and release pipeline. Being part of Azure core team, work on the product code base to improve its test-ability, diagnostic-ability, debug-ability and overall product health for the storage system. Qualification : Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, or C# OR equivalent experience.

Job Description: Arm has excellent opportunities in the Solution Engineering group - which has a charter to develop best-in-class SoCs and compute subsystems using industry-leading Arm IP products. These solutions target different market segments like premium mobile, servers, automotive, and IoT. The pre-silicon verification team in Bangalore is looking for highly-skilled engineers with experience in system validation of SoCs on Emulation platform. Responsibilities: Be part of the verification team, and define the emulation-based stress validation methodology & build verification plans. This will involve closely interacting with multiple cross-site & co-located collaborators like the SoC architects, designers, & DV engineers to come up with the extended stress validation plans for the product. Work on multiple industry-standard emulation platforms from EDA vendors, and closely collaborate with technology teams to resolve issues with porting the design on these platforms, and to improve Arm's validation methodology on emulation Take up the responsibility to identify & enable transactors, traffic exercisers, virtual host devices, and monitors on the emulation platform - which will help effective validation of the SoC design. You will be accountable for planning and developing bare-metal and OS-based test content for system stress and use-case validation targeting multiple product use-cases. The team is responsible to find bugs by enabling validation content on high-speed subsystems like PCIe, Ethernet, USB, etc. and other subsystems like DDR, HBM, UFS, HDMI, MIPI devices, LSIO, etc. on emulation Mentor junior engineers and work as a team to deliver on validation goals. Skills and experience required: 5 to 15 years of proven hands-on experience in SoC/subsystem validation. Emulation-based verification experience is a big plus. Prior knowledge of at least one of the blocks like CPU, PCIe, DDR, Ethernet, DDR, USB, etc. Experience working on industry-standard emulators, and validation using transactors or virtual devices will be a plus C/C++ skills with strong understanding of how software interacts with the SoC, firmware, and hardware components is a requirement. Understanding of OS/Linux, drivers and kernel modules is desired. Expertise on hardware behavioral language (Verilog, SystemVerilog) Knowledge of scripting (e.g. Tcl, Perl, Python etc.) In return: Our offices are amazing places to collaborate. If you are interested, but unsure whether you tick all the boxes, we still would love you to reach out! We are keen to welcome people with versatile skills and experience into Arm! Accommodations at Arm At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email [email protected]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.