Test Coverage Metrics Jobs in Bengaluru

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 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.

Enterprise Customer Success Manager Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, empowering over 40 million developers and 500,000 organizations including 98% of the Fortune 500 to build, test, and manage APIs efficiently. Headquartered in San Francisco, with offices in Boston, New York, and Bengaluru (where Postman was founded), we re backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. We re building an API-first world, simplifying every step of the API lifecycle through innovation, collaboration, and user empowerment. The Opportunity As an Enterprise Customer Success Manager (CSM), you will act as a strategic advisor to a portfolio of large enterprise customers, driving value realization, adoption, and growth. You ll own the post-sales relationship end-to-end from onboarding to expansion working cross-functionally with Sales, Product, and Engineering teams to ensure a best-in-class customer experience. This is a high-impact role where you ll help customers achieve business outcomes through Postman s platform while contributing directly to company success metrics. Key Responsibilities Customer Success Planning: Develop tailored success plans aligned with each customer s goals and API strategy. Onboarding & Enablement: Lead smooth onboarding, technical setup, and product adoption journeys. Consultative Partnership: Advise customers on best practices for API management, integrations, and collaboration using Postman. Impact Reviews: Conduct business reviews showcasing ROI, usage insights, and growth opportunities. Stakeholder Engagement: Build trusted relationships across customer organizations from developers to the C-suite. Customer Advocacy: Capture success stories and case studies to highlight customer value and drive advocacy. Revenue Influence: Identify and drive expansion opportunities to contribute to Net and Gross Retention goals. Feedback & Insights: Provide actionable customer feedback to shape Postman s product roadmap and strategy. Success Metrics Gross Retention Rate (GRR) Net Retention Rate (NRR) License Occupation (LO%) and Weekly Collaborating Users (WCU) Monthly Active Users (MAU) Expansion and upsell impact About You 8+ years in enterprise customer success, account management, or consulting preferably in SaaS or developer tools. Strong technical foundation (Bachelor s in Computer Science, Engineering, or related field). Proven success managing executive relationships and driving customer outcomes. Deep understanding of the API lifecycle, developer ecosystems, and DevOps principles. Experience with Postman, Atlassian, GitHub, or AWS tools preferred. Skilled in Gainsight, Salesforce, Gong, and related success tools. Excellent communicator able to translate technical value to business outcomes. Strategic, analytical, and proactive problem-solver who thrives in fast-paced environments. Why Join Postman At Postman, we believe in creating a culture of curiosity, inclusion, and continuous learning. Along with competitive pay and flexible schedules, we offer: Comprehensive medical coverage Flexible PTO and wellness reimbursement Monthly lunch stipend and wellness programs Hybrid work model (3 days a week in-office) Team-building events and a donation-matching program We re building a long-term, inclusive company where everyone can thrive and do their best work. Our Values Curiosity: We explore and innovate fearlessly. Transparency: We communicate openly about wins and challenges alike. Focus: We set clear goals that ladder up to a bold vision. Inclusion: Every voice matters in building what comes next. Excellence: We re dedicated to delivering the best together. Qualification : Bachelors in Computer Science, Engineering, or related field

Analytics Engineer Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, used by over 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to build an API-first world, simplifying every step of the API lifecycle and enabling teams to create better APIs, faster. Founded in Bengaluru, Postman is headquartered in San Francisco, with offices in Boston, New York, and Bengaluru. We are privately held, backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. The Opportunity We are seeking an Analytics Engineer to join our Data Team and help strengthen the foundation of our modern data stack. In this role, you will own critical transformation pipelines, design scalable data models, and ensure that our analytics environment is performant, reliable, and future-ready. You will operate with a high degree of independence, driving projects from design through production, while implementing best practices in dbt, semantic layers, medallion architecture, and lakehouse paradigms. Key Responsibilities Take ownership of large portions of our dbt project (3k+ models), ensuring scalability, maintainability, and adherence to best practices. Design and implement robust data models, including dimensional modeling, incremental strategies, and Slowly Changing Dimensions (SCDs). Establish and enforce dbt test coverage, automated quality checks, and CI/CD pipeline standards using GitHub Actions. Profile and optimize SQL queries and warehouse performance for efficiency and cost reduction. Build and refine our semantic layer, ensuring consistent business logic across Looker, Redash, and downstream tools. Collaborate with analysts and business partners to define metrics and deliver self-serve data assets. Document models, lineage, and transformation logic to make data discoverable and usable across the company. Contribute to shaping team standards and playbooks, collaborating with analysts on modeling and transformation best practices. Stay ahead of modern data stack innovations, including dbt metrics layer, universal semantic layers, data contracts, and observability. Enabling Self-Serve Analytics & AI Build transformations that empower business stakeholders and analysts to explore data confidently. Ensure metric definitions are consistent, discoverable, and reusable across BI tools. Prepare clean, structured, and accessible datasets for AI-driven initiatives like conversational analytics and anomaly detection. Partner with Data Science & ML teams to provide reliable pipelines that accelerate experimentation and AI/ML deployment. About You 3 5 years of experience in analytics engineering roles. Advanced SQL skills (query optimization, performance tuning). Strong proficiency in dbt Core: models, macros, snapshots, sources, and custom materializations. Solid background in data modeling techniques (Kimball, SCD handling, incremental pipelines). Practical experience with semantic layers and BI integration (LookML, dbt metrics, or equivalent). Familiarity with Medallion architecture and modern lakehouse approaches. Hands-on experience with Redshift; exposure to Databricks is a plus. Proficiency with GitHub and CI/CD pipelines for analytics code. Strong fundamentals in data quality, governance, and lineage tracking. Flexible schedule with a hybrid work model. Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend. Access to wellness programs, team-building events, and donation-matching initiatives. An inclusive, collaborative culture where everyone can thrive and grow. Our Values Curiosity: Explore and innovate fearlessly. Transparency: Communicate openly about successes and failures. Focus: Set clear goals aligned with a bold vision. Inclusion: Every voice matters. Excellence: Deliver the best products and experiences together.

Job Title: Software Engineer QA Location: Bengaluru Company: Altisource (NASDAQ: ASPS) About Altisource Altisource Portfolio Solutions S.A. is a leading integrated service provider and marketplace for the real estate and mortgage industries. We combine operational excellence with innovative technology to meet the evolving needs of our clients. Learn more at altisource.com. Role Overview We re looking for a Software QA Engineer with a passion for quality and innovation to join our growing technology team. You ll play a critical role in ensuring that our software products meet the highest standards by designing robust test plans, executing test cases, and contributing to automation efforts. This is a great opportunity for a quality-focused engineer who thrives in Agile environments and is eager to grow in a fast-paced, product-driven company. Key Responsibilities Review requirements and technical specifications to ensure clarity and testability. Create detailed and well-structured test plans, test cases, and test scripts. Estimate, prioritize, and plan testing activities as part of sprint planning. Design, develop, and maintain automated test scripts using open-source tools. Execute functional, regression, and exploratory tests; identify and report bugs. Perform root cause analysis on defects and track them to resolution. Collaborate closely with developers, product managers, and other QA engineers. Monitor and support debugging processes; verify bug fixes through regression testing. Contribute to improving QA processes and best practices across the team. Stay current with the latest trends in testing tools, strategies, and technologies. Track key QA metrics such as defect density, open defects, and test coverage. Required Qualifications 2+ years of hands-on experience in software testing (manual and automation). Strong understanding of QA methodologies, tools, and processes. Experience writing clear, concise, and comprehensive test documentation. Solid knowledge of SQL and scripting for database validation. Experience with both white-box and black-box testing techniques. Hands-on experience with automated testing tools (e.g., Selenium, JUnit, TestNG). Experience working in Agile/Scrum development environments. Bachelor s degree in Computer Science, Engineering, or a related field. Preferred Skills Experience with performance and/or security testing. Exposure to CI/CD pipelines and test integration in build processes. Familiarity with JIRA, TestRail, or similar test/project management tools. Join us at Altisource and be part of a team that is transforming the real estate and mortgage industry with technology and innovation. Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Job Title: Industrialization Engineer Location: Bengaluru, India Experience Required: 5 10 years Industry: Electronics / Electric Vehicles Employment Type: Full-time Company: Ultraviolette Automotive Pvt Ltd Join the Charge. Create the Future. At Ultraviolette, we are redefining mobility. From building India s fastest electric motorcycle to developing the world s most advanced electric scooter, we thrive on innovation, bold thinking, and performance that thrills. We're a diverse, passionate team of engineers, designers, and creators united by one mission: to build machines that are not only sustainable, but exhilarating. If you re driven by purpose and ready to shape the future of mobility, this is your moment. Role Overview: We are looking for a technically strong and hands-on Industrialization Engineer (Electronics) to lead the transition from R&D prototypes to scalable, high-quality mass production. In this cross-functional role, you will work at the intersection of design, manufacturing, sourcing, and embedded systems, ensuring our products are built for scale, reliability, and performance without compromising innovation. Key Responsibilities: Technical Ownership & Industrialization: Lead industrialization from EVT (Engineering Validation Test) to DVT (Design Validation Test) and PVT (Production Validation Test), up to mass production. Translate R&D designs into production-ready documentation (BOMs, Gerbers, PCBA specs, test jigs, etc.). Conduct Design for Manufacturability (DFM) and Design for Testability (DFT) reviews. Own ramp-up metrics such as yield, test coverage, defect trends, and field return analysis. Collaborate with R&D teams on thermal design, layout optimization, and component derating strategies. Ensure compliance with voltage isolation, creepage/clearance, and relevant safety standards. Supplier & EMS Collaboration: Act as a technical bridge between internal teams and EMS vendors, ensuring alignment from design to execution. Coordinate with EMS on NPI builds, process validation, line setup, and FAI (First Article Inspection). Support firmware flashing, version control, and hardware-software integration testing at production lines. Assist in troubleshooting mechanical, electrical, or firmware-related issues during production. Component Engineering & Cost Optimization: Evaluate and qualify alternate components and suppliers. Drive cost engineering and BOM optimization without compromising on quality. Engage in component lifecycle management and ensure availability through the production lifecycle. Required Qualifications & Skills: B.E./B.Tech in Electronics, Electrical, or related field 5 10 years experience in hardware industrialization, preferably in EV or electronics manufacturing Strong knowledge of PCB design reviews, SMT/PCBA processes, and box build Hands-on with tools like Altium, OrCAD, or similar for PCB-level evaluations Experience with ICT/FCT test setups, test fixture design, and test station validation Basic embedded systems understanding firmware flashing, serial log analysis, GPIO testing Experience working directly with EMS vendors, test labs, and component suppliers Excellent cross-functional communication skills Willing to travel to EMS or supplier sites for builds and validation Nice to Have (Preferred): Familiarity with FMEA, APQP, PPAP, ISO/IATF 16949 processes Knowledge of compliance and safety standards (e.g., IEC, ISO 26262) Background in value engineering, cost-down programs, and process audits Work on industry-defining EV products with world-class engineering challenges Collaborate with cutting-edge R&D and manufacturing teams Be part of a mission-led company that s changing the landscape of mobility A workplace culture that values ownership, audacity, and excellence Apply now and be a part of something bigger. Let s create the future together. Qualification : B.E./B.Tech in Electronics, Electrical, or 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!

Test Engineer (Senior QA Engineer / SDET) Department: R&D - Engineering Location: Bangalore About Acqueon: Acqueon is a leading provider of Generative AI-powered Revenue Execution Platforms. We empower customer-centric brands to orchestrate multi-channel campaigns and proactively engage consumers through voice, messaging, and email. Trusted by over 200 clients globally, we help enterprises elevate their customer experience, improve revenue recovery, increase sales, and build lasting loyalty. At the heart of Acqueon is a relentless focus on creating delightful, friction-free, and referral-worthy customer experiences using cutting-edge AI and data-driven technology. Position Overview: We are seeking a talented and experienced Senior QA Engineer / SDET to join our growing engineering team. This role focuses heavily on performance testing and test automation, ensuring our applications meet the highest standards of scalability, reliability, and usability. You will work in a collaborative environment with developers, DevOps engineers, and product teams, taking ownership of designing and executing complex test strategies using tools such as JMeter, Gatling, k6.io, and Selenium WebDriver. Key Responsibilities: Design, develop, and execute performance tests for web applications and backend APIs using JMeter, Gatling, or k6.io. Create realistic test scenarios and simulate workloads to evaluate system behavior under varying conditions. Conduct performance tuning and optimization, identify system bottlenecks, and provide recommendations for improvement. Work closely with development teams to analyze test results, diagnose issues, and drive resolutions. Build and maintain automation frameworks using Selenium WebDriver with Java, Cucumber, JUnit, TestNG, or Playwright. Contribute to the integration of performance and functional tests into CI/CD pipelines. Participate in architectural and design discussions to ensure performance considerations are included from the outset. Document test strategies, metrics, and findings, and communicate them clearly across teams. Required Qualifications: Bachelor s degree in Computer Science, Engineering, or a related field. 6 7 years of experience in performance testing and test automation. Strong hands-on experience with JMeter, Gatling, or k6.io. Expertise in building and executing performance test plans for web applications and APIs. Deep understanding of performance metrics, system tuning, and capacity planning. Proficiency in automation using Selenium WebDriver with Java, and frameworks like Cucumber, JUnit, TestNG, or Playwright. Solid knowledge of web technologies, protocols (HTTP/S), and application architecture. Strong analytical skills, attention to detail, and ability to work in dynamic, fast-paced environments. Excellent communication and collaboration skills. Preferred Experience: Experience with Agile/Scrum methodologies. Familiarity with CI/CD pipelines and tools like Jenkins, GitHub Actions, or GitLab CI. Exposure to cloud-based performance testing environments. Experience with monitoring tools (e.g., Grafana, Prometheus, New Relic) is a plus. What We Offer: A fast-paced, high-growth environment working on next-gen customer engagement products. The opportunity to work with cutting-edge technologies and global enterprise clients. A collaborative, people-first culture that values curiosity, ownership, and excellence. If you re passionate about quality, performance, and automation and love solving complex challenges we d love to hear from you. Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Job Title: Director of QA Location: Bangalore Department: Quality Engineering Employee Type: Full-time Experience Required: 14 18 years Position Overview We are seeking an accomplished and visionary Director of Quality Assurance (QA) to lead our QA organization and ensure the delivery of world-class products. This leadership role requires deep expertise in quality engineering, strong technical acumen, and a strategic mindset. You will be responsible for defining the overall QA strategy, scaling high-performing teams, and implementing modern testing frameworks and methodologies that align with business and product objectives. This is a high-impact role, collaborating cross-functionally to champion a culture of quality across the organization. Key Responsibilities Strategic Leadership Define and execute a comprehensive QA vision and strategy aligned with the company's product development goals. Evolve QA methodologies and processes by integrating Agile, DevOps, and shift-left principles. Stay ahead of QA industry trends and innovations to drive continuous improvement and efficiency. Team Leadership & Development Recruit, build, and mentor a world-class QA team including managers, leads, and engineers. Foster a culture of ownership, collaboration, and continuous learning. Conduct regular performance reviews and support career development through coaching and training. Promote a "quality-first" mindset across all engineering and product teams. Quality Assurance & Testing Oversee planning and execution of all QA activities including functional, non-functional (performance, security, usability), automation, and regression testing. Lead the implementation and scaling of test automation frameworks to improve speed, coverage, and reliability. Manage defect tracking and resolution processes, ensuring root cause analysis and timely resolution. Define, track, and report on key quality metrics such as defect density, test coverage, automation ROI, and overall product health. Collaboration & Communication Partner with Product, Engineering, DevOps, and Business teams to embed quality early in the product lifecycle. Clearly communicate QA strategies, risk assessments, and progress updates to executive leadership and cross-functional stakeholders. Act as a quality evangelist across the organization, promoting best practices and shared accountability for quality. Process Optimization Identify inefficiencies and quality bottlenecks across the Software Development Lifecycle (SDLC). Champion continuous improvement initiatives to reduce time-to-market without compromising on quality. Advocate for shift-left testing approaches, integrating QA earlier in development workflows. Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related technical field. 15+ years of experience in Quality Assurance, including at least 7+ years in senior leadership roles (e.g., QA Manager, Senior Manager, or Director). Proven track record in building and scaling high-performing QA teams in product-driven environments. In-depth knowledge of testing methodologies (Agile, Waterfall, DevOps) and various testing types (functional, performance, security, usability). Strong experience with test automation tools and frameworks (e.g., Selenium, JMeter, Postman). Hands-on experience with CI/CD pipelines, quality gates, and DevOps practices. Strong analytical, problem-solving, and strategic decision-making abilities. Exceptional interpersonal, verbal, and written communication skills. Ability to thrive in a fast-paced, dynamic, and cross-functional environment. Preferred Qualifications Experience working in Fintech or regulated product-based environments. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). This role offers a unique opportunity to shape and lead the quality vision of a cutting-edge organization. If you're passionate about software quality, innovation, and leading teams to excellence, we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related technical field

Position: Senior Software Quality Engineering Functional Location: Bengaluru, India (Hybrid 3 days onsite) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) is a leader in Connected Operations , helping industries such as logistics, field services, construction, and manufacturing digitally transform their physical operations. Samsara s solutions use IoT data to improve safety, efficiency, and sustainability across global infrastructure that powers more than 40% of global GDP. Role Overview Samsara is hiring a Senior Software Quality Engineer Functional to join its Quality Engineering team in Bengaluru. In this hands-on and collaborative role, you will be responsible for functional and automation testing across Samsara s Salesforce platform, with a primary focus on CPQ and Sales Cloud modules. You ll work closely with cross-functional teams to ensure robust test coverage and help build a high-quality, reliable GTM systems ecosystem. This is a hybrid position, requiring 3 days in office and 2 days remote each week. Key Responsibilities Quality Strategy & Execution Develop and maintain comprehensive test plans, test cases, and test scripts for Salesforce CPQ and Sales Cloud applications. Execute functional, regression, integration, and performance tests across critical GTM workflows. Automate repetitive testing scenarios using tools like Selenium, JUnit, or similar. Collaboration & Defect Management Work cross-functionally with Product, Engineering, and Operations to ensure features meet quality and performance standards. Identify, log, track, and validate bug fixes using tools such as JIRA and TestRail. Participate actively in Agile ceremonies and collaborate closely with globally distributed teams. Continuous Improvement Analyze requirements and propose test coverage enhancements early in the SDLC. Mentor junior QA engineers, sharing best practices and championing quality culture. Contribute to performance testing and CI/CD improvements using tools like Jenkins or Bitrise. Minimum Qualifications Bachelor s degree in Computer Science, IT, or related discipline. 7+ years of overall QA experience with 2+ years focused on Salesforce CPQ and Sales Cloud. Solid understanding of Salesforce architecture, metadata, and data models. Proficiency in manual and automated testing, defect tracking, and test management tools. Strong attention to detail and ability to thrive in a fast-paced environment. Preferred Qualifications Salesforce certifications such as CPQ Specialist, Advanced Administrator, or Sales Cloud Consultant. Experience with performance testing tools and Agile development practices. Familiarity with CI/CD pipelines and DevOps processes. Excellent communication and collaboration skills with a mentorship mindset. Qualification : Bachelors degree in Computer Science, IT, or related discipline

Engineering Leader - Machine Learning Location: Bangalore, Karnataka, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re revolutionizing the future of employment by leveraging artificial intelligence to connect individuals to the right career opportunities based on their skills, not just their network. Our AI-powered Talent Intelligence Platform is transforming how organizations plan, hire, develop, and retain a diverse workforce. With $410M+ in funding and a $2B+ valuation, we re growing rapidly, and if you're passionate about solving one of society's most critical challenges employment then Eightfold is the place for you. Led by visionary leaders like Ashutosh Garg (former Google Search and Personalization leader) and Varun Kacholia (former Facebook and Youtube leader), we are shaping the future of AI-powered talent management. About the AI Platform Team Our AI/ML team is the heart of Eightfold, pushing the boundaries of applied machine learning. We re working with massive datasets, solving complex problems, and building cutting-edge AI models that are reshaping how companies approach talent management. Join us if you re eager to work in a team where every day presents a new challenge and opportunity. What You ll Do As the Engineering Leader - Machine Learning, you ll be responsible for leading and mentoring a high-performing team of engineers, driving the success of AI-driven products at Eightfold. Your primary responsibilities will include: Team Leadership: Coach, mentor, and manage a talented team of engineers to foster a culture of innovation, collaboration, and high performance. ML Model Ownership: Lead the development and deployment of cutting-edge deep learning models across all Eightfold products, ensuring reliability, scalability, and high-quality performance. Platform Development: Help build high-performance, flexible infrastructure that supports a variety of deep learning techniques and modeling approaches. End-to-End ML Pipeline: Oversee the end-to-end process of building and deploying machine learning models, including creating robust data pipelines that can process unstructured data. ML Framework Implementation: Design and implement an intuitive ML development framework that ensures efficiency and ease of use for data scientists and engineers. Model Fairness: Work with our internal model fairness platform to ensure that we are providing equal opportunity for everyone through responsible ML practices. Cross-Team Collaboration: Work closely with product teams to apply deep learning techniques to solve complex business problems across various domains. What You Should Already Know To be successful in this role, you should have: Strong Foundation in ML & Deep Learning: Expertise in applying Natural Language Processing (NLP) and deep learning solutions to solve real-world problems. Experience with Language Models: Familiarity with advanced language models such as BERT, GPT-3, T5, and others. Academic Background: A BS, MS, or PhD in Computer Science, Data Science, Mathematics, or related fields. Proven ML Experience: Hands-on experience building and deploying machine learning models at scale, particularly in production environments. Programming Expertise: Strong knowledge of ML languages such as Python, C++, Java, R, Scala, and experience with scientific libraries like numpy, pandas, and frameworks like TensorFlow, PyTorch, scikit-learn, etc. Strong ML Theory Knowledge: In-depth understanding of ML theory and experience working with large-scale datasets, data ingestion, and processing systems. Experience with Distributed Systems: Familiarity with distributed systems, including REST APIs, microservices, and data processing frameworks. Metrics-Focused: A passion for building high-quality models that deliver results and metrics-driven outcomes. Nice to Have Real-Time Tech Problems: Experience with real-time processing or low-latency systems. Cloud Environments: Familiarity with cloud platforms like AWS, and experience using cloud-based ML tools. MLOps Tools & Pipelines: Experience with MLflow, Metaflow, or similar tools to streamline ML workflows and operations. Advanced Tech Stack: Familiarity with tools like Spark, MLlib, Databricks, Apache Airflow, etc. Impactful Work: Join a company dedicated to solving one of society's most pressing issues employment. Your work will have a direct impact on individuals' careers around the world. Innovation at Scale: Work with cutting-edge AI and ML technologies to shape the future of talent management. Competitive Compensation: Receive an attractive salary, equity, and comprehensive benefits package (including family medical, vision, and dental coverage). Collaborative Environment: Work in a culture that values transparency, ownership, and collaboration across teams. Hybrid Work Model: Enjoy a hybrid work environment, with flexibility for remote work and in-office collaboration at our Bangalore office. Growth Opportunities: Be part of a rapidly scaling company with vast opportunities for career development and leadership roles. Equal Opportunity Employer Eightfold.ai is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. If you are an experienced and visionary leader in Machine Learning, eager to make a lasting impact while solving one of society's most important challenges, we would love to hear from you. Qualification : BS or MS or PhD degree in Computer Science, Data Science or Mathematics

Engineering Manager Data Location: Bangalore, Karnataka | Department: Tech About the Team At Meesho, we power millions of orders daily with zero downtime thanks to our cutting-edge data and backend systems. Our engineering culture is built on speed, ownership, and a growth mindset. We embrace failures as learning opportunities and foster a 'Founder s Mindset' across all engineering teams. We're passionate technologists, team players, and storytellers just as comfortable building robust data platforms as we are bonding over books, games, or chai. If you're ready to lead a team building high-impact, real-time data systems that touch millions of users, come join us. About the Role We are seeking an experienced Engineering Manager Data to lead our data engineering initiatives. You ll be responsible for building scalable data platforms, managing distributed systems, and ensuring data accuracy, accessibility, and real-time analytics capabilities. This role combines technical depth, strategic thinking, and team leadership to build next-gen data systems powering Meesho s mission. What You Will Do Design and allocate technical tasks based on Meesho s data engineering standards and architecture. Lead and mentor a team of data engineers; conduct regular performance reviews and provide growth feedback. Oversee development of scalable, distributed data systems across streaming and batch pipelines. Collaborate with Product, Design, and Sales teams to create innovative data-driven products and features. Monitor project progress, drive sprint planning, and report on key metrics using OKRs. Promote engineering best practices, data quality standards, and cloud-native development. What You Will Need Bachelor s or Master s in Computer Science or a related field. 8+ years of overall experience, with 4+ years managing software/data engineering teams. Hands-on expertise in Java, Python, or Go and multithreading. Experience with distributed data systems, including Apache Spark, Kafka, and streaming architectures. Deep understanding of relational and NoSQL databases. Proficient in cloud platforms (preferably AWS) and containerized deployments. Experience in data modeling, pipeline architecture, and data quality frameworks. Familiarity with BI tools like Tableau, Metabase, or Superset. Good to have: Knowledge of Trino, Flink, Presto, Druid, Pinot, and real-time analytics platforms. Strong project and stakeholder management; ability to lead cross-functional teams. About Us Meesho is India s fastest-growing e-commerce platform on a mission to democratize internet commerce for every Indian. With 1.75M+ sellers and millions of active customers, we offer zero commission, the lowest shipping costs, and unparalleled reach across every serviceable pincode in India. We're building Meesho to be Meri Shop for the next billion users empowering small businesses and first-time entrepreneurs to sell and thrive online. Our Culture & Total Rewards Our culture is rooted in impact, innovation, and inclusivity. Guided by 11 core principles or "Mantras", we empower our teams to think big, move fast, and grow constantly. Daily rituals like Reflections and Listen or Die ensure everyone has a voice and a growth path. What We Offer: Competitive Compensation including salary, performance bonuses, and equity. Wellness & Insurance via our MeeCare program, with extensive coverage for employees and families, plus mental health and wellness initiatives. Work-Life Balance with flexible work hours, generous leave policies, and parental support. Learning & Development with courses, mentorship, and career mobility through our Internal Mobility Program. Perks & Benefits including salary advances, relocation support, recreational discounts, and employee gifts. Join us to lead the data transformation at Meesho and help shape the future of commerce for India s next billion users. Apply now to make your mark! Qualification : Bachelors or Masters in Computer Science or a related field.

Position: SQA/Test Automation Analyst Job Overview: We are looking for an experienced SQA/Test Automation Analyst to join our team. In this role, you will lead the end-to-end test automation process across various applications and systems. You should be proficient in test automation tools such as UFT, Selenium, or UiPath, and have hands-on experience with automation projects spanning different platforms such as Oracle EBS, SFDC, and web-based applications. Key Responsibilities: Lead end-to-end test automation efforts across applications and systems, ensuring comprehensive test coverage. Develop and execute automated test scripts using tools like UFT, Selenium, and UiPath. Collaborate with stakeholders to define test strategies, create test plans, and ensure the automation of relevant test cases. Provide test management oversight, track progress, and report key test metrics. Work on test documentation, including defect reporting, test execution results, and overall test status. Perform performance testing and actively contribute to performance test efforts across different applications. Leverage prior experience with Oracle ERP or SFDC applications to support testing initiatives. Analyze test results and work closely with development teams to identify, report, and resolve issues. Required Skills & Experience: 3-4 years of experience in test automation, covering a range of applications such as Oracle EBS, SFDC, and web-based platforms. Expertise in one or more test automation tools: UFT, Selenium, or UiPath. Familiarity with test management processes and test metrics to monitor and improve test quality. Prior exposure to Oracle ERP or SFDC applications is highly preferred. Hands-on experience with performance testing tools and techniques. Strong problem-solving skills, with the ability to work independently and as part of a collaborative team. Location: Bangalore, India (SKAV Seethalakshmi, GESC) Employment Type: Full-time Job Category: Information Technology

Job Title: Principal SDET Location: Bangalore (On-site; full-time) About Locus: At Locus, we are redefining logistics decision-making with deep-tech solutions that drive efficiency, consistency, and transparency across industries like retail and FMCG/CPG. Founded in 2015 by Nishith Rastogi and Geet Garg, Locus has evolved from a women s safety geo-tracking app into a globally recognized logistics optimization platform. Our technology has empowered enterprises such as Unilever and Nestl to execute over a billion deliveries across 30+ countries. Guided by our commitment to innovation and sustainable growth, we transform complex supply chains into strategic growth enablers. Join us at Locus and be part of a team shaping the future of global logistics. Job Overview: About the Role As a Principal SDET at Locus, you will play a critical role in driving the quality and reliability of our platform. This role goes beyond traditional testing; you will design, develop, and enhance automated test frameworks, ensure seamless integration of quality engineering practices, and mentor team members to establish a quality-first culture. Key Responsibilities: Automation Framework Design and Development: Architect, develop, and maintain robust test automation frameworks for backend, APIs, and frontend components. Ensure the frameworks are scalable, reusable, and aligned with the latest industry standards. Test Strategy and Planning: Collaborate with product managers, developers, and DevOps to define comprehensive test strategies for new features and system enhancements. Own the end-to-end testing lifecycle, from requirement analysis to test case creation, execution, and reporting. Drive better QA practices (In areas Like: defect creation, Capturing scope of feature, Sign offs , matrix of coverage in functional and automation etc) Quality Advocacy and Best Practices: Drive the adoption of best practices in testing, coding standards, and CI/CD processes across teams. Act as a champion of quality by fostering a quality-first mindset and instilling a culture of rigorous testing. Test Execution and Debugging: Conduct functional, performance, and security testing, ensuring the product meets the highest quality standards. Debug complex issues and work closely with developers to identify and resolve root causes. Continuous Improvement: Analyze test results and metrics to identify areas for improvement in testing processes and product quality. Contribute to the development and enhancement of monitoring and alerting systems to proactively address production issues. Mentorship and Collaboration: Mentor and guide junior SDETs and quality engineers, sharing knowledge and expertise to elevate the team s capabilities. Collaborate effectively with cross-functional teams to ensure quality is integrated into every stage of the development process. Develop a good understanding of velocity in teams and across the org and work towards removing roadblocks to improve release velocity Qualifications: 5-8 years of experience in software testing, with at least 3 years focused on test automation. Proficiency in programming languages such as Java, Python, or JavaScript. Hands-on experience with test automation tools and frameworks for Web and API automation like Selenium, Appium, TestNG, JUnit, or similar. Exp of working on any AI enabled testing tools or frameworks is a plus. Expertise in API testing and automation using tools like Postman, RestAssured, or equivalent. Familiarity with performance testing tools such as JMeter or Gatling. DevOps and CI/CD: Experience with CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or GitHub Actions. Knowledge of Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure) is a plus. Strong debugging skills and the ability to identify root causes of issues quickly. Excellent communication, collaboration, and leadership skills. Experience in testing large-scale, distributed systems. Knowledge of security testing and tools like OWASP ZAP or Burp Suite. Exposure to machine learning models and their testing challenges. Join Locus and become part of a visionary team that is redefining logistics through innovation and smart distribution. We provide competitive compensation, comprehensive benefits, and a collaborative environment where your expertise will drive both your growth and that of the organization. Locus is an equal opportunity employer dedicated to creating a diverse and inclusive workplace.

Job Title: Automation Engineer Location: Bengaluru, India Company: Wipro Limited Role Purpose The purpose of this role is to design, program, simulate, and test automation processes and products, ensuring they meet the required levels of efficiency, effectiveness, and quality. Key Responsibilities 1. Understanding Software Requirements & Product Design Analyze and understand the current technology architecture, system dependencies, and application stacks. Collaborate with project management to formulate project plans, define development steps, and obtain approval for the plans. Review existing operating procedures by consulting with users, partners, and clients to ensure alignment with project goals. Contribute to the automation roadmap, designing process improvements and developing innovative automation solutions. Improve and maintain the automation framework to support various technology stacks and create reusable libraries across multiple business verticals. 2. Software Development & Reporting Prepare the environment for automation processes, including test plan design, development of test cases and usage scenarios, and test execution. Develop technical specifications and resolve complex technical design challenges. Collaborate with development teams to design and validate both functional and non-functional automation requirements. Implement, track, and report key automation metrics to ensure full test coverage. Own the process for error elimination, ensuring code testing and validation align with Wipro standards. Track and document problems, resolutions, and defect fixes, building a comprehensive database of bugs and successful solutions. Develop and update automated testing tools to ensure continued process efficiency and accuracy. Use industry best practices, reusable code, and design patterns while developing automation processes. 3. Communication & Stakeholder Collaboration Work closely with Agile delivery teams to understand product vision, product backlogs, and automation requirements. Assist in creating acceptance criteria for user stories and translate them into automation test backlogs. Collaborate with development teams to improve continuous deployment processes through formalized strategies, processes, and tooling. Partner with business SMEs to fully understand automation requirements, then design and deploy suitable automation solutions. Ensure long-term maintainability by documenting all automation processes according to Wipro guidelines. Maintain clear, effective communication with testers, developers, and clients to ensure quick resolution of issues and thorough documentation. Provide assistance to testing and support personnel when system problems arise. Perform backend/database programming when necessary to support key automation projects. Stay updated on industry standards and incorporate them into day-to-day work. Performance Parameters Parameter Measure Automation Quality Adherence to design, project plan compliance, effective issue resolution, zero disruption in deployment, proactive risk identification (EWS) with mitigation measures Documentation Quality Comprehensive documentation of the automation process, test cases, debugging data, and performance reviews as per Wipro quality standards About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading global technology services and consulting company. We focus on delivering innovative solutions that address the most complex digital transformation challenges of our clients. With a holistic portfolio spanning consulting, design, engineering, and operations, we empower clients to achieve their boldest ambitions and build future-ready businesses. With over 230,000 employees and business partners across 65 countries, we deliver value to customers, colleagues, and communities across the globe. Learn more at www.wipro.com. At Wipro, we empower individuals to continuously reinvent themselves and their careers. We foster an inclusive and diverse work environment where innovation and collaboration thrive. We actively welcome applications from people with disabilities and all individuals regardless of background. Come to Wipro. Realize your ambitions.

Senior Lead Web Developer Location: Bengaluru About the Role We are looking for a Senior Lead Web Developer with a strong technical foundation, leadership skills, and a passion for building high-quality web applications. You will lead a team of top-tier developers, drive technical excellence, and collaborate with cross-functional teams to deliver scalable, high-performance platforms. If you thrive in a fast-paced startup environment, love working with cutting-edge web technologies, and have a passion for problem-solving, this role is for you! What You ll Do Leadership & Team Growth Lead, mentor, and develop a high-performing web development team. Attract and onboard top engineering talent while fostering a culture of collaboration and technical excellence. Advocate for the team s technical needs and growth within the organization. Technical Excellence Architect and build high-scale, robust web applications using modern frameworks (React.js, Vue.js, etc.). Drive best practices in performance, security, and scalability for web development. Champion automation, test-driven development (TDD), and CI/CD methodologies. Ensure compliance with core web vitals, tech SEO, and web performance optimization. Cross-Functional Collaboration Work closely with product managers, designers, and data teams to deliver seamless web experiences. Influence product and process decisions by leveraging technical insights and data-driven strategies. Use analytics tools like Google Analytics, Google Tag Manager, and Appsflyer to optimize user experience. What We re Looking For Experience & Technical Skills 8+ years of hands-on experience in web development, including leading diverse engineering teams. Strong expertise in architectural patterns for large-scale websites and platform development. Proficiency in modern web frameworks like React.js, Vue.js, and performance optimization techniques. Experience deploying and managing applications in public cloud environments (AWS, Azure, Google Cloud). Deep understanding of core web vitals, SEO best practices, and web performance metrics. Strong background in test-driven development (TDD), CI/CD pipelines, and automation. Soft Skills & Problem-Solving Ability to communicate effectively across teams, aligning technical and business goals. A problem-solving mindset with a passion for continuous learning and innovation. Thrives in a fast-paced, high-impact startup culture. Why Join Gameskraft? Startup Energy: Fast-paced, innovation-driven environment. Impactful Work: Your contributions will directly shape the gaming ecosystem. Collaborative Culture: Work with some of the brightest minds in tech and gaming. Data-Driven Development: Leverage analytics to build better user experiences. Perks & Benefits Competitive Salary & ESOPs Grow with the company. 5 Lakh Medical Insurance Coverage for you & your family. Attractive Car Lease Policy Exclusive employee benefits. Relocation Assistance Support in moving to Bangalore. Free Lunch & Stocked Pantries Great food, all day! Performance-Based Growth Transparent appraisals & rapid career progression. Ready to Build the Future of Gaming? If you're passionate about leading world-class web development, we'd love to hear from you! Apply now and be part of our journey at Gameskraft.

We are looking for a Senior System Software Engineer! As a member of our NVLink development team, you will drive feature enablement post silicon and firmware/verification infrastructure for our next-generation GPUs that enable high-performance interconnect of multi-GPU systems. Familiarity with high-performance systems and networking protocols and architectures is a bonus. What you'll be doing: Drive bringup, feature enablement and debug on GPU systems post silicon. Collaborate with architecture, hardware and software teams on feature design, development and enabling. Triage and resolve firmware issues during customer quals/in the field. Log bugs, track coverage metrics, and perform gap analysis. Work on developing automation tools and infrastructure to improve our firmware development, regressions, and verification process What we need to see: BE / B.Tech or ME / M.Tech (or equivalent experience) degree in EE/CS or related field 5+ years of minimum experience in a software development role Excellent debugging and analytical skills Software Verification, DFx knowledge is a bonus Experience with Python/Perl/C/C++ Familiarity with computer system architecture, microprocessors, and microcontroller fundamentals (caches, buses, DMA, etc.). Excellent interpersonal skills and ability to collaborate with on-site and remote teams Ways to stand out from the crowd: You're passionate about low-level software development/ debugging / verification Experience with HW/SW interactions Experience with RTOS/RISCV programming/debugging Ability to work independently with minimum supervision Schedule-oriented with excellent execution abilities NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our NVLink design team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. #LI-Hybrid Qualification : BE / B.Tech or ME / M.Tech (or equivalent experience) degree in EE/CS or related field

Description bout the organization: Einstein products & platform democratize AI and transform the way Salesforce builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc. We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes. About the team: Join the AI Cloud Quality Engineering team, and become a specialist on Salesforce's AI Platform and applications! You will be leading the Quality Engineering team as we build the best in class the AI capabilities at Salesforce. You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned both in the short term and long term. We are a friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests. Job description summary: Salesforce is seeking a highly experienced and dynamic Director of Software Engineering with a strong focus on Quality Assurance to lead our QA team within the AI Cloud division. The ideal candidate will possess extensive expertise in cross-functional team collaboration, effective negotiation skills, and a solid background in test automation. This role requires strategic planning capabilities, exceptional people management skills, and the ability to manage expectations with various stakeholders while setting out a clear roadmap for the team. You ll have the opportunity to enhance our test frameworks, work on test environment stability, and develop automation strategies for both platform and applications, including Copilots, Einstein for Service, and others. Key Responsibilities: Team Leadership and People Management: Lead, mentor, and develop a high-performing QA team within the AI Cloud division. Foster a collaborative, inclusive, and innovative team environment. Conduct regular performance reviews, provide constructive feedback, and facilitate professional growth for team members. Cross-Functional Collaboration: Partner closely with development, product management, and other departments to ensure the integration of robust QA processes within AI Cloud initiatives. Facilitate effective communication and collaboration across teams to identify and resolve quality issues promptly. Test Automation Management: Oversee the development, implementation, and maintenance of test automation frameworks and tools tailored for AI Cloud products. Ensure comprehensive test coverage and optimize testing processes for efficiency and effectiveness. Stay updated with the latest trends, technologies, and best practices in test automation and AI testing methodologies. Stakeholder Management: Manage expectations and communicate effectively with various stakeholders including senior leadership, product owners, and customers. Provide regular updates on QA activities, progress, and challenges, ensuring transparency and alignment with AI Cloud business objectives. Negotiate and prioritize testing efforts to align with business goals and AI product release timelines. Strategic Planning and Roadmap Development: Develop and implement a strategic QA roadmap that aligns with Salesforce AI Cloud s business objectives and product development goals. Set clear goals, milestones, and timelines for QA initiatives and projects. Continuously evaluate and enhance QA processes, methodologies, and practices to drive improvements in product quality and team efficiency. Quality Assurance and Continuous Improvement: Establish, enforce, and uphold quality standards, guidelines, and best practices across the QA team. Monitor and analyze QA metrics to identify areas for improvement and drive data-driven decision-making. Lead continuous improvement initiatives to enhance product quality, reduce defects, and improve team performance. Qualifications: Bachelor s degree in Computer Science, Engineering, or a related field; advanced degree preferred. At least 14 years of experience in a similar senior QA management role within a fast-paced, agile software development environment. Strong expertise in test automation tools and frameworks (e.g., Selenium, JUnit, TestNG). Excellent leadership and people management skills with a track record of building and leading high-performing teams. Exceptional communication and negotiation skills, with the ability to manage expectations and influence stakeholders at all levels. Strong analytical and problem-solving abilities, with a focus on data-driven decision-making. Experience in managing cross-functional teams and collaborating with various stakeholders to achieve common goals. Ability to develop and implement strategic plans and roadmaps. Familiarity with CI/CD pipelines and DevOps practices is a plus. Experience with AI technologies, large language models (LLMs), and tools like AWS SageMaker is preferred but not mandatory. Knowledge of Salesforce products and platforms is a significant advantage. Salesforce is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive...

Job Overview As a Tools Support & Infrastructure Engineer at Qualcomm, you'll play a vital role in supporting and enhancing the design flows and infrastructure for Qualcomm's Digital Signal Processing (DSP) team. The DSP design team delivers high-performance DSP cores that are integral to Qualcomm's multi-tier SoC roadmap, particularly for mobile applications. This position involves managing DSP design databases, developing automation tools to streamline the verification process, and collaborating with global teams to optimize design efficiency and quality. Key Responsibilities Manage DSP Design Database: Oversee the DSP design database, supporting design and verification teams with infrastructure needs. Build Automation: Create new automation tools to enhance the productivity of design verification teams, making it easier to debug simulation failures. Collaborate with Global Teams: Work with Qualcomm s global DSP design teams (architecture, implementation, post-silicon, and back-end teams) to enhance DSP IP infrastructure. Improve Tool Methodologies: Design and deploy new tool methodologies to continuously improve the quality, efficiency, and effectiveness of design and verification processes. Support Design Flows: Contribute to and improve design flows, ensuring the seamless integration of tools and resources used by design teams. Minimum Qualifications Educational Requirements: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, or related field with 6+ years of relevant work experience, or Master's degree in Computer Science, Electrical/Electronics Engineering, or related field with 5+ years of relevant work experience, or PhD in Computer Science, Electrical/Electronics Engineering, or related field with 4+ years of relevant work experience. Skills & Experience Programming & Tools Support: 3-10 years of experience in programming, database management, and providing tools support for complex DSP IP designs. Automation Expertise: Extensive experience in building automation tools that improve design and verification processes. Programming Languages: Expertise in C++ and Java. Scripting & Automation: Proficiency with scripting languages and tools such as Perl, Python, Shell, Makefiles, and TCI. Analytical Skills: Strong analytic, programming, and debugging abilities. Object-Oriented Programming (OOP): Deep understanding of OOP concepts. Web Programming: Familiarity with Java for web programming is a plus. Unix Environment: Solid understanding of the Unix environment. Digital Design Flows: Knowledge of digital design flows is a plus. Communication: Excellent interpersonal and communication skills, with the ability to work collaboratively with global teams.