Senior Quality Assurance Engineer

Job Title: Senior Quality Assurance Engineer Description: A hands-on Quality Engineering role focused on leading QE strategy and execution across API, backend, UI automation, and AI-driven features while mentoring engineers and driving release quality. This role aligns with industry titles such as Lead Quality Engineer, Lead QA Engineer, Senior Test Automation Engineer. Role Summary We are hiring a Quality Engineering Lead to drive test strategy, team execution, and cross-team quality alignment across multiple engineering teams. This is a hands-on technical leadership role for an experienced quality engineer who can set direction, coordinate QE activities across workstreams, mentor engineers, and own quality outcomes across API, backend, UI, and AI-driven feature domains. The ideal candidate combines deep automation expertise with the leadership capability to coordinate releases, manage dependencies, and represent QE in cross-functional forums. Key Responsibilities Team Leadership & Coordination Lead and coordinate QE activities across multiple engineering teams, ensuring alignment on priorities, coverage, and release readiness

Assign and manage day-to-day workstream tasks across QE engineers, providing hands-on guidance, unblocking escalations, and ensuring delivery against sprint goals

Track cross-team dependencies and integration risks across engineering workstreams, surfacing blockers early and coordinating resolution

Own release readiness decisions — consolidate regression status, environment coverage, and dependency sign-offs to provide clear go/no-go recommendations

Represent QE in cross-functional forums, planning ceremonies, and leadership discussions — communicating quality status, risks, and strategic recommendations

Mentor QE engineers on automation best practices, framework usage, and quality engineering standards; drive knowledge sharing and technical growth across the team

API & Backend Automation Design, build, and own API automation frameworks using Java — covering REST endpoints, request/response validation, schema checks, and contract testing

Develop comprehensive test suites for service integrations, microservices, and event-driven systems

Perform backend and database validation (SQL/NoSQL) — data integrity, transformation logic, and state verification

Drive contract testing practices to catch breaking API changes early (Pact or equivalent)

Build and maintain reusable API test libraries and utilities shared across the team

Integrate API automation suites into CI/CD pipelines as hard quality gates

Perform performance and load validation on critical API paths

UI Automation Build, own, and maintain UI automation suites using Playwright for critical user journeys

Identify scenarios best covered at the UI layer vs. API/backend layer and advocate for the right test pyramid

Collaborate with front-end engineers on test coverage gaps and flaky test resolution

AI Feature Quality( Preferred) Test AI-assisted and AI-driven features, including agentic AI workflows and multi-step agent interactions

Validate AI outputs for accuracy, consistency, business correctness, bias, and edge-case behaviour

Design evaluation strategies for non-deterministic outputs (LLM responses, agent actions, tool calls)

Define regression and failure scenarios specific to AI systems

Quality Engineering Practices Own quality for assigned features: requirements review, test planning, execution, and sign-off

Identify, log, and track defects; lead root-cause analysis with developers

Champion shift-left quality — engage at design and code-review stages

Define and own QE strategy across feature domains — including coverage planning, tooling decisions, and quality metrics — ensuring a proactive rather than reactive quality posture

Must-Have Skills & Experience 6+ years of hands-on QA / Quality Engineering experience, with the majority focused on API and UI testing.

API Automation (strong): Java — REST testing, request/response and schema validation, contract testing, service integration testing

Backend/DB Validation (strong): SQL proficiency; working knowledge of NoSQL (MongoDB, DynamoDB, or similar)

UI Automation (strong): Playwright — hands-on experience building, extending, and maintaining UI automation suites independently; Playwright is required

Programming: Java (strong); JavaScript / TypeScript (working proficiency)

CI/CD Integration: experience wiring automation into pipelines (Jenkins, GitHub Actions, or similar)

AI Testing: hands-on experience validating AI outputs; exposure to agentic AI or multi-step agent workflows is a strong plus

Tooling: Jira, Zephyr (or equivalent test management tool)

Team Leadership: proven experience leading or coordinating a QE team — task management, mentoring, release ownership, and cross-functional stakeholder engagement

Cloud: working knowledge of AWS or equivalent — S3, Lambda, SQS basics for backend validation