Senior Engineer - QA Automation, Load & Reliability Strategy

7 - 10 years

27 - 37 Lacs

Posted:1 month ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

seasoned QA and reliability engineering leader

Senior Engineer

Your Role & Responsibilities

  • Build and scale

    automated QA frameworks

    across services, APIs, and UI for platform-grade quality
  • Drive

    test enforcement in single-click CI/CD pipelines

    using GitHub Actions, ArgoCD, Jenkins, or equivalent
  • Define and implement

    automated test data creation

    strategies using factories, mocks, and

    synthetic data generation tools

  • Design and manage

    on-demand performance and load test environments

    using tools like

    k6, JMeter, Gatling, or Locust

  • Architect and orchestrate

    resilience, fault-injection, and chaos testing

    strategies for critical platform components
  • Establish

    performance environment strategy

    for multi-tenant, scalable systems with dynamic test coverage
  • Define and track

    SLOs, SLAs, and error budgets

    , collaborating with SRE and observability teams
  • Drive

    shift-left testing practices

    and embed automated validations early in the development lifecycle
  • Enable

    self-service quality tools

    for developers and platform teams to improve test feedback loops
  • Continuously evolve

    NFR validation strategies

    to ensure performance, stability, and availability benchmarks are met

Skills & Experience Required

  • 6+ years in QA automation, reliability engineering, or platform QA roles
  • Hands-on experience with automation frameworks:

    Playwright, Selenium, REST-assured

    , or similar
  • Proven experience in

    load, stress, and chaos testing

    for cloud-native distributed systems
  • Deep experience with

    test data strategy

    , including

    synthetic test data, mocking, and data anonymization

  • Expertise with

    CI/CD tooling

    and integration of quality gates within pipelines (ArgoCD, GitHub Actions, Jenkins, etc.)
  • Strong knowledge of

    cloud environments (GCP, Azure)

    and Kubernetes-based deployments
  • Proficient with performance monitoring and observability stacks (Grafana, Prometheus, New Relic, etc.)
  • Familiarity with

    contract testing, component testing

    , and

    non-functional validation

    techniques

Nice to Have

  • Experience working with

    multi-tenant systems and complex environment reduction strategies

  • Knowledge of

    test virtualization

    or

    mock service generation

    for isolated testing
  • Exposure to

    GenAI tools

    in test acceleration, log summarization, or automated test generation
  • Prior contribution to

    chaos engineering frameworks

    like Gremlin, Litmus, ChaosMonkey or ChaosMesh

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Data Analytics, Customer Insights

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