Python Automation Engineer

Senior Test Automation Engineer with 8 10 years of experience designing scalable Python-based frameworks and driving system-level validation across complex software stacks. Responsible for building CI/CD pipelines, automating integration testing, and improving reliability through robust diagnostics, reporting, and flakiness reduction. Strong expertise in Linux, Py Test, and log-driven debugging across kernel, drivers, and services layers.

Job Responsibilities / Day-to-Day Activities

Core Responsibilities (High Level):
Design, develop, and maintain scalable Python-based test automation frameworks, including utilities, configuration management, logging, and reporting layers.
Own and drive CI/CD pipelines for smoke, sanity, regression, and gated validation workflows across releases.
Develop end-to-end system and integration validation suites spanning OS, drivers, middleware, and platform services.
Build and enhance failure diagnostics and triage capabilities (log parsing, artifact capture, root-cause inference).
Improve automation reliability, reproducibility, and execution efficiency, with a strong focus on reducing test flakiness.
Define and enforce test quality metrics, dashboards, and reporting mechanisms to enable data-driven decisions.

Qualifications Experiences:
Experience with hardware-software integration validation (embedded systems, robotics, AI/edge platforms).
Familiarity with containerized test environments (Docker/Kubernetes).
Exposure to performance testing, scalability testing, or reliability engineering.
Knowledge of test data management and environment orchestration.
Experience: 8 10 years in test automation and system validation for complex software/hardware stacks.
Programming: Strong proficiency in Python (framework development, scripting, tooling).
Systems Expertise: Solid understanding of Linux/Unix environments and Bash scripting.
Test Frameworks: Hands-on expertise with PyTest (or equivalent), including test design, fixtures, and basic mocking.
CI/CD: Experience integrating automation frameworks with Jenkins, GitLab CI, or GitHub Actions, with pipeline-driven validation.
Version Control: Strong knowledge of Git workflows (branching strategies, tagging, release validation).
Debugging Skills: Proven ability to debug across kernel, drivers, user space, and services, with a strong log-driven triage approach.
Reporting Metrics: Experience building test reports (JUnit/HTML), trend analysis, and actionable dashboards.