Quality Engineering Developer - offshore

What You’ll Do

Build scalable automation frameworks across UI, API, integration & event‑driven layers

Act as a quality architect, influencing system design, testability & release readiness

Embed automated quality gates into CI/CD pipelines

Engineer quality for distributed systems, microservices, and high‑availability platforms

Leverage AI / GenAI to accelerate test design, automation development, evaluation, and debugging

Practice Spec‑Driven Development (SDD) to align specifications, implementation, and validation

Own end‑to‑end production quality, including release certification & incident triage

What We’re Looking For (Must‑Have)

Core Engineering

Expert‑level Java / Python (OOP, data structures, design patterns)

Proven experience building automation frameworks from scratch

Hands‑on Playwright experience for modern UI automation

Strong API and integration testing (REST, microservices)

CI/CD experience with automated quality gates (TeamCity, Jenkins, GitHub)

Solid understanding & proficiency with SQL, handling backend data stores and performing data validation

Experience validating high‑availability, low‑latency systems

Practical, maintainable BDD implementations

Distributed Systems & Reliability

Strong understanding of microservices and event‑driven architectures

Experience with performance, load, stress, and resilience testing

Ability to debug using logs, metrics, and traces

Using production telemetry to guide quality strategy

AI‑Driven & Spec‑Driven Engineering (Must‑Have)

Hands‑on use of AI / GenAI tools for test design, automation coding, and debugging

Strong AI evaluation skills—validating AI‑generated code and tests

Expertise in prompt engineering and context management

Proven Spec‑Driven Development (SDD) experience

Experience using and developing Agents, Skills and Model Context Protocol (MCP) integrations

Ability to embed AI‑assisted QE workflows safely into CI/CD

Strong understanding of responsible AI usage and verification of AI outputs

Quality Ownership

Experience with release certification, regression strategy, and production validation

Hands‑on incident triage and root‑cause analysis

Willingness to support production releases, including on‑call rotations

Partner with product owners, developers, architects, and platform teams to define project-specific quality strategy, acceptance criteria, testability standards, and release-readiness checkpoints.

Design and maintain end-to-end automated test coverage for critical business journeys across UI, API, microservices, database, integration, and event-driven components.

Build reusable test utilities, service virtualization, mocks, stubs, synthetic test data, and environment-aware automation to enable reliable execution across development and test environments.

Integrate automated functional, regression, performance, resilience, and security-focused checks into CI/CD pipelines with clear quality gates and actionable reporting.

Validate asynchronous workflows, message queues, event schemas, retries, idempotency, failure handling, and data consistency across distributed services.

Use SQL, logs, metrics, traces, and production telemetry to validate backend processing, diagnose defects, support incident triage, and improve risk-based test coverage.

Apply Spec-Driven Development by converting requirements and technical specifications into executable tests, traceable validation assets, and measurable quality outcomes.

Use approved AI / GenAI tools to accelerate test design, automation coding, code review, debugging, and defect analysis while independently validating generated outputs.

Contribute to framework architecture, coding standards, pull-request reviews, engineering documentation, and continuous improvement of the QE toolchain.

Own defect quality from discovery through closure, including reproducibility, severity assessment, root-cause collaboration, regression protection, and release risk communication.

Support release certification, production validation, post-release monitoring, and on-call incident response as required by the project.

Partner with product owners, developers, architects, and platform teams to define project-specific quality strategy, acceptance criteria, testability standards, and release-readiness checkpoints.

Design and maintain end-to-end automated test coverage for critical business journeys across UI, API, microservices, database, integration, and event-driven components.

Build reusable test utilities, service virtualization, mocks, stubs, synthetic test data, and environment-aware automation to enable reliable execution across development and test environments.

Integrate automated functional, regression, performance, resilience, and security-focused checks into CI/CD pipelines with clear quality gates and actionable reporting.

Validate asynchronous workflows, message queues, event schemas, retries, idempotency, failure handling, and data consistency across distributed services.

Use SQL, logs, metrics, traces, and production telemetry to validate backend processing, diagnose defects, support incident triage, and improve risk-based test coverage.

Apply Spec-Driven Development by converting requirements and technical specifications into executable tests, traceable validation assets, and measurable quality outcomes.

Use approved AI / GenAI tools to accelerate test design, automation coding, code review, debugging, and defect analysis while independently validating generated outputs.

Contribute to framework architecture, coding standards, pull-request reviews, engineering documentation, and continuous improvement of the QE toolchain.

Own defect quality from discovery through closure, including reproducibility, severity assessment, root-cause collaboration, regression protection, and release risk communication.

Support release certification, production validation, post-release monitoring, and on-call incident response as required by the project.