Quality Engineering Developer - offshore
# Quality Engineering Developer - offshore **Zensar Technologies** · Maharashtra · `On-site` 🕒 **Статус:** *Опубликовано: 3 дня назад* · *Источник: Indeed* --- ### About the Role 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
Наблюдалась 2026-09-21, впервые 2026-09-18, источник — Indeed.