Quality Assurance – Python DevOps Engineer

Your Impact As a Python DevOps Engineer within the Quality Assurance team, you will architect and scale AI driven validation solutions that automatically test and assess software work products programs. You will design Python-based frameworks, define automation architecture, and integrate advanced AI-powered verification connected to CI/CD/CT pipelines. Key Responsibilities -AI Tool Architecture, Development & Integration -Design, develop, and maintain AI automation for automotive projects. -Create and maintain AI automation scalable solutions for automotive projects. -Enable and optimize solutions with a focus on efficiency and execution time, ensuring high stability of results. -Configure and operationalize remote execution environments, including authentication, cluster setup, and performance tuning. -Integrate AI automatization solution into Jenkins and GitHub Actions CI/CD pipelines. -Interact with PE team to bring fully compatible AI automatization solutions aligned with CICD strategy. -Python Automation & Framework Development -Build robust Python frameworks supporting build/test automation, data collection (PostgreSQL, SQL), orchestration, and continuous verification. -Develop modular libraries, CLI tools and interfaces, internal APIs, and automation logic aligned with CI/CD best practices. -Engineering Workflow Automation -Automate integration flows across tools, microservices, internal systems, and external vendors. -Improve developer experience by reducing execution time, optimizing caching strategies, and simplifying workflows.Dashboards, Observability & Reporting -Build dashboards to visualize AI Automation performance, CI/CD metrics, quality indicators, pipeline health, and operational KPIs. Develop data pipelines to collect, process, and surface telemetry across distributed systems.Cross- Team Collaboration Work closely with global software teams, platform architects, and DevOps specialists to align and extend engineering capabilities. Promote best practices in Python, Bazel, CI/CD, Git workflows, and automation design principles. Troubleshooting & Continuous Improvement Diagnose failures, pipeline bottlenecks, misconfigurations, caching issues, and integration conflicts. Continuously explore improvements such as parallel execution, rule optimization, pipeline refactoring, and new DevOps tools. Server and service configuration and maintenance. What We’re Looking For Must-Have Skills -Strong expertise in Python (framework design, automation, OOP, threads, CLI, API). -Strong experience with Jenkins and/or GitHub Actions for CI/CD. -Familiarity with Windows Server, ISS. -Solid understanding of Git, branching strategies, and workflow automation. -Good grasp of CI/CD/CT concepts and modern DevOps practices. -Strong analytical, debugging, and problem‑solving skills. -Comfortable working in Agile environments with shifting priorities. -Good English communication skills. Nice-to-Have Skills -Experience with large-scale build systems or monorepos. -Experience developing dashboards (Grafana, Kibana, or custom Python solutions). -Familiarity with Linux, Bash scripting, containers, or microservices. -Experience with migration projects (tools, pipelines, build systems). -Background in automotive, embedded, or high-reliability software environments. -Experience with Gen AI tools (Vero, Goose,...) Your Mindset System-thinker who enjoys architecting engineering ecosystems. Driven by automation, optimization, and developer productivity. Thrives in complex environments with global stakeholders. Balances long-term technical vision with immediate business needs.