Top QA Engineer Jobs in India

Own release quality for SaaS products through requirements review, test planning, manual and automated testing, defect triage, and post-release validation. Develop Playwright and TypeScript E2E automation, improve unit test coverage, establish accessibility checks, monitor quality metrics, and automate non-functional testing. Collaborate with product managers, developers, and engineering managers while analyzing logs and data to identify issues.

Teach and mentor students in Quantitative Aptitude, Data Interpretation, and Logical Reasoning for competitive exams including CAT, IPMAT, CLAT, GRE, and GMAT. Responsibilities include conducting classes and doubt sessions, developing course content and mock tests, designing lesson plans, monitoring student progress, delivering workshops, supporting curriculum standardization, and staying current with exam trends.

Deliver classroom instruction in Quantitative Ability, Data Interpretation, and Logical Reasoning for IPMAT and CLAT aspirants. Responsibilities include syllabus completion, revision sessions, doubt resolution, student mentoring, performance assessment, exam strategy guidance, question-paper and content development, mock-test review, and maintaining academic quality. The faculty member will coordinate with centre teams, manage multiple batches, maintain classroom engagement, and travel across Kolkata centres as required.

Teach quantitative aptitude, data interpretation, and logical reasoning for competitive exams including IPMAT, CAT, and CLAT. Develop course materials, assignments, and assessments; mentor students; provide individualized feedback; monitor progress; explain complex concepts clearly; and align instruction with current exam patterns.

Owns software QA strategy, test planning, execution, and automation for HPE’s hybrid cloud platform. The role develops and enhances Python-based automation frameworks, performs functional, regression, scale, filesystem, protocol, and data-path testing, and troubleshoots complex system issues. It requires collaboration across distributed Agile teams and knowledge of storage, networking, containers, CI/CD, Linux, and AI workflows.

Develops and executes software testing strategies across functional, regression, scale, and automated testing. Owns automation frameworks and tools, troubleshoots complex issues, and collaborates with distributed Agile teams. Tests storage systems, file systems, protocols, data paths, networking, containers, and Linux or virtual-machine environments. Uses Python, CI/CD pipelines, Git, Jenkins, Jira, and Confluence while contributing to AI-enabled software development workflows.

Own software QA strategy, test planning, execution, troubleshooting, and automation for HPE’s hybrid cloud platform. Develop and enhance Python-based automation frameworks, conduct functional, regression, scale, filesystem, protocol, and data-path testing, and collaborate across distributed Agile teams. The role requires storage, networking, containerization, CI/CD, Linux, and system engineering expertise, with AI-based development and testing experience preferred.

Own quality assurance across mobile, web, and backend products by designing and executing regression, exploratory, integration, and end-to-end tests. Investigate root causes, manage defects, participate in product grooming, collaborate with developers and automation engineers, and improve test coverage. Apply AI tools to create test scenarios, identify requirement gaps, reduce repetitive work, and deliver an AI-driven QA initiative.

Build and maintain Playwright and Cucumber automation frameworks, develop regression and end-to-end test suites, automate REST API testing, and integrate tests into CI/CD pipelines. The role includes defect reporting, cross-functional collaboration, quality initiatives, and mentoring or guiding technical direction. Candidates need strong JavaScript or TypeScript skills, automation design experience, API testing knowledge, and familiarity with testing tools, authentication, Git, and Agile practices.

Glean seeks a Quality Assurance Engineer to conduct Manual & Automation testing on their web application, identifying bugs and maintaining test plans with a keen analytical approach.

Develop and execute software testing strategies for HPE’s hybrid cloud platform. Own test automation frameworks, perform functional, regression, scale, system, file system, protocol, and data path testing, and troubleshoot complex issues. Collaborate across distributed Agile teams using Python, Jira, Confluence, CI/CD tools, containers, Kubernetes, Linux, and virtual environments. Apply storage, networking, and AI workflow knowledge throughout the software development lifecycle.

Designs and executes quality assurance and automated testing processes for software, firmware, and hardware-based applications. Develops test scripts, plans, protocols, and documentation; analyzes results; debugs issues; recommends improvements; and collaborates with software engineers and development partners to resolve defects and deliver reliable testing solutions.

Performs compliance quality assurance for financial crime controls, including operational and design effectiveness testing, sampling, reporting, issue remediation, documentation, and audit readiness. Reviews AML/CFT activities, transaction monitoring, sanctions screening, KYC/EDD, suspicious activity reporting, and regulatory compliance processes. Manages stakeholder discussions, regulatory examinations, remediation programs, and controlled AI-based process automation.

Performs quality assurance and audit support by meeting production and accuracy targets, conducting quality checks and peer reviews, identifying process deviations, and ensuring compliance with QC standards. Resolves team queries, shares process knowledge, participates in calibration and training sessions, and supports continuous improvement and process consistency.

Performs quality control and quality assurance reviews of participant communications by sampling cases, verifying content accuracy and completeness, reporting findings, maintaining production and efficiency metrics, and assisting with SOP and standard-work updates for business lines.

Develop test strategies and cases, perform manual and automated testing, maintain web and API automation suites, investigate defects, and validate AI-enabled workflows involving LLMs, agents, RAG, tool calling, MCP, embeddings, and vector databases. Collaborate with engineering and product teams through code reviews, debugging, Agile ceremonies, and quality-risk communication.

Tests code changes, releases, deployments, and software functionality through manual, exploratory, regression, and growing automated testing. Reproduces and analyzes user-reported issues, distinguishes defects from configuration or data problems, documents findings, supports release sign-off, and collaborates with developers, product managers, IT, and end users. The role also improves test coverage, quality processes, release checklists, and automation frameworks integrated with CI/CD pipelines.

Develop and execute software testing strategies across functional, regression, scale, and automated testing. Own automation frameworks and tools, troubleshoot complex systems, and test storage domains, file systems, protocols, and data paths. Collaborate with distributed Agile teams using Python, Docker, Kubernetes, CI/CD, GitLab, Jenkins, and Linux environments. Apply system engineering expertise and AI workflows to improve software quality.

Establish and implement QA/QC systems for pumped storage construction. Review ITPs and quality plans, monitor material and laboratory testing, conduct audits and inspections, review NCRs and corrective actions, coordinate third-party inspections and contractors, ensure compliance with drawings, specifications, contracts and standards, and prepare QA/QC reports.

Hands-on Senior QA Engineer responsible for automating API, event-driven, data, and UI testing for post-trade financial platforms. Duties include validating settlement, reconciliation, positions, corporate actions, options, margin, transfers, tax lots, regulatory outputs, migrations, and parallel runs. The role develops Java-based test frameworks, maintains CI/CD pipelines, analyzes defects, improves coverage, and collaborates with engineering, product, operations, and compliance teams.

The Data QA Engineer designs and owns quality approaches for customer data projects, combining manual, visual, exploratory, and automated testing. Responsibilities include validating extracted data, analyzing completeness and accuracy with statistics and charts, documenting defects, producing quality reports, clarifying requirements, and improving QA tooling and processes. The role collaborates with developers, project managers, clients, and QA leadership in an agile environment, using Python, Pandas, Jupyter, SQL, web technologies, and REST API testing.

QA Specialist responsible for designing and executing QA strategies for Power BI reports and Microsoft Fabric data pipelines. Validate front-end report functionality, query SQL backends for data accuracy, automate testing (Playwright and pipeline tests), document test cases, track quality metrics, and collaborate with developers and data engineers to resolve data issues and ensure consistent reporting between legacy and Fabric environments.

Conduct manual and automated software testing, develop and maintain Python automation scripts, analyze and document results, validate defects, and verify functional and non-functional requirements. Collaborate with cross-functional teams on troubleshooting, root-cause analysis, post-release testing, and resolution of issues. Apply testing techniques and methodologies while improving automation efficiency and evaluating new tools.

Reviews, reproduces, validates, and routes software issues while maintaining triage workflows and SLAs. Automates Jira and QA data collection, builds reports and dashboards, analyzes quality trends, identifies root causes, and provides actionable insights to QA and engineering teams. The role also develops playbooks, improves reporting processes, supports QA enablement, and contributes to AI-assisted predictive triage and anomaly detection.

Tests IP networking software through automated and manual test plans, builds data center network configurations, reviews requirements, troubleshoots issues using packet captures and logs, and collaborates with developers to improve product quality. The role requires advanced Layer 2 and Layer 3 networking expertise, familiarity with networking operating systems and data center protocols, Python proficiency, Linux knowledge, and at least five years of relevant experience.