QA Engineering Lead

QA Manager (10–15 Years)

Location:

Bangalore Type:

Hybrid Full-Time

Role Overview We are seeking a highly technical and experienced QA Manager (10–15 years) to lead our Quality Assurance function for enterprise-grade AI and SaaS products. The ideal candidate must have deep expertise across test strategy, test planning, execution, automation frameworks, non-functional testing, data validation, and security testing. This is a key leadership role requiring strong product engineering experience, the ability to build scalable QA processes, and hands-on capability in both manual and automation testing. Candidates with backgrounds in broader tech/product companies, AI/ML systems testing, and end-to-end QA ownership will be preferred.

Key Responsibilities

Test Strategy & Leadership Own and define end-to-end QA strategies, processes, and standards for complex AI-driven enterprise platforms. Lead planning, estimation, risk analysis, and quality gate reviews. Collaborate with Engineering, PM, and Architecture teams to ensure testability and quality alignment. Mentor and guide the QA team, ensuring adherence to best practices and continuous improvement.

Functional & Manual Testing Strong understanding of SDLC, STLC, and Agile delivery models (Scrum, Kanban). Expertise in test scenario design, test case development, execution, and reporting. Hands-on experience with functional, regression, smoke, sanity, usability, and acceptance testing. Proficiency in defect lifecycle management using tools such as JIRA. Solid knowledge of black-box testing techniques. Good understanding of API testing using tools like Postman or SoapUI.

Automation Testing Strong hands-on experience in UI, API, and database automation. Expertise in automation frameworks (custom and open-source). Strong programming skills in Python (preferred). Experience integrating automation into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI). Knowledge of BDD frameworks (Cucumber, SpecFlow). Ability to build, optimize, and maintain reusable automation test scripts. Experience with version control (Git, Bitbucket, SVN). Hands-on experience with headless automation and parallel execution.

Data Testing Strong experience with SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, Cassandra). Ability to write complex queries for data validation and reconciliation. Data pipeline, ETL, and data lake testing exposure. Experience validating data integrity, transformation, and migration in high-volume environments.

Performance & Non-Functional Testing Hands-on experience in performance, load, stress, reliability, and scalability testing. Expertise using tools such as: JMeter BlazeMeter Ability to analyze throughput, response times, latency, and performance bottlenecks. Experience with cloud-based load distribution and scalability tests. Knowledge of APM and profiling tools: New Relic, Dynatrace, AppDynamics. Experience with log monitoring tools (ELK, Splunk, Grafana, Prometheus). Understanding of capacity planning and infrastructure performance tuning.

Security & Penetration Testing Good understanding of OWASP Top 10, SANS 25, and secure coding concepts. Experience with penetration testing using: Burp Suite OWASP ZAP Knowledge of API security testing (JWT, OAuth, token-based authentication). Ability to generate comprehensive vulnerability assessment reports and drive remediation with engineering teams.

Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 10–15 years of hands-on experience in QA across SaaS / AI / enterprise product companies. Demonstrated experience in building QA strategies, leading teams, and delivering high-quality releases in Agile environments.

Skills & Attributes Strong technical depth across functional and non-functional testing. Experience working with AI/ML-driven applications or data-heavy platforms. Strong understanding of manufacturing processes (preferred but not mandatory). Experience with CSV, GxP, or regulated environments is a plus. Excellent communication, stakeholder management, and presentation skills. Ability to work in a fast-paced product engineering environment.

What We Offer Competitive salary with performance-based bonuses. Comprehensive health and wellness benefits. Opportunity to work with AI-powered enterprise platforms. Culture focused on innovation, learning, and technical excellence. Regular workshops, training programs, and tech talks.

About Mareana Mareana builds cutting-edge enterprise digital AI products focused on Manufacturing, Supply Chain, and Sustainability. Our AI-driven platforms solve complex data challenges and deliver real-time insights, enabling businesses to accelerate digital transformation. We have delivered more than $1B+ in business value to global clients, including leading firms in life sciences, consumer goods, chemicals, food & beverage, and manufacturing. We are recognized by Gartner as a “Cool Vendor in AI” and have been featured in Silicon Review and Manufacturing Insights. Our leadership team includes experts from leading global pharma and tech companies, with backgrounds from IIT, NYU, UC Berkeley, UCLA, and others.