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Software Engineer in Test

Software Engineer in Test

Landmark GroupBengaluru, Karnataka, India
10 days ago
Job description

Experience range : 5 to 12 years

Key Responsibilities

  • Test Automation Development : Build and maintain robust, scalable test automation frameworks for API, web, and mobile platforms.
  • Design, develop, and maintain internal tools that enhance automation capabilities, CI / CD integration, and test data visualization.
  • Build intelligent dashboards for real-time reporting of test results, release quality metrics, and defect analytics.
  • Develop AI / ML-based solutions to optimize test case prioritization, test suite reduction, flakiness prediction, and self-healing scripts.
  • Integrate tools and dashboards with CI pipelines (e.g., Jenkins, GitHub Actions) and test frameworks (Selenium, Playwright, etc.).
  • Work closely withSREs, and DevOps teams to ensure tools are scalable, performant, and well-adopted.
  • Create APIs, microservices, or CLI tools that support testing workflows, artifact management, and defect traceability.
  • Continuously evaluate new AI / ML advancements and incorporate them into test engineering practices.

Required Skills

  • Proficiency in Java, Python, Node.js, or similar scripting languages.
  • Hands-on experience with dashboarding tools (Grafana, Kibana, Superset, or custom solutions using React / D3.js).
  • Working knowledge or experience with Mabl, TestRigor, or any AI automation tool.
  • Strong understanding of test automation frameworks (e.g., Pytest, Playwright, Cypress, Selenium).
  • Experience integrating tools with CI / CD pipelines (Jenkins, GitHub Actions, GitLab CI).
  • Familiarity with databases (SQL, NoSQL) and working with test data at scale.
  • Experience in building REST APIs or microservices for internal use.

    • Nice to Have

  • Experience with GenAI or LLM integration for test case generation or failure analysis.
  • Working knowledge of AI / ML libraries like Scikit-learn, TensorFlow, or transformers for testing-centric use cases.
  • Exposure to containerization (Docker / K8s) and cloud platforms (AWS / GCP / Azure).
  • Understanding of observability tools like Prometheus or ELK stack.
  • Knowledge of software telemetry, test coverage reporting, and static / dynamic code analysis tools.
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    Software Engineer Test • Bengaluru, Karnataka, India