Zensar Technologies—Quality Engineering Developer - offshore

Job description

Description: 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 Requirements: - 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. Responsibilities: - 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.