Role & seniority: Senior QA / Test Automation Lead (10+ years in QA/testing with strong automation background)

Stack/tools

Languages: Java, Python, JavaScript (at least two)
Testing: UI automation, API automation, backend & database testing
CI/CD, version control: CI/CD tools, Git
Performance: JMeter
Quality tooling: SonarQube, Allure (nice-to-have)
Practices: SDLC, STLC, Agile, DevOps, test architecture/framework design, shift-left, continuous testing

Top 3 responsibilities

Lead distributed QA teams on large-scale enterprise projects
Define and implement test strategy, architecture, and automation/framework design; drive continuous testing and shift-left
Collaborate with cross-functional teams (PMs, Developers, Architects) and manage stakeholder expectations

Must-have skills

10+ years QA/testing experience with strong automation
Proficiency in at least two programming languages (Java/Python/JavaScript)
Deep experience in UI, API, and backend/database testing
Strong knowledge of SDLC/STLC, Agile, DevOps; test architecture/framework design
Experience with CI/CD tools and Git; performance testing with JMeter
Leadership, stakeholder management, and ability to manage distributed teams

Nice-to-haves

Cloud platforms ( AWS / Azure / GCP )
Container orchestration ( Docker / Kubernetes )
AI/ML testing concepts
Robotic Process Automation (RPA) tools
Experience implementing test coverage and

Full Description

Technical Expertise 10+ years of QA/Testing experience with a strong automation background.

Proficiency in at least two programming languages: Java / Python / JavaScript.

Deep understanding of

SDLC, STLC, Agile, DevOps practices
Test architecture and framework design
Continuous testing and shift-left methodologies

Strong experience in

UI automation
API automation
Backend and database testing
CI/CD tools
Version control (Git)
Performance Testing (JMeter)
Leadership & Communication
Exceptional communication and stakeholder management skills.
Experience working with cross-functional teams (PMs, Developers, Architects).
Ability to lead distributed QA teams and manage large-scale enterprise projects.
Strong problem-solving, analytical thinking, and decision-making skills.
Good-to-Have Skills

Experience with cloud technologies: AWS / Azure / GCP. Knowledge of container orchestration (Docker, Kubernetes). Understanding of AI/ML testing concepts. Exposure to robotics process automation (RPA) tools. Experience implementing test coverage and code quality tools (SonarQube, Allure Reports).

Quality Assurance Automation Engineer