Build Scalable AI Automation Solutions for Next-Gen Automotive Software

Who We Are

The Quality Assurance team is building next-generation AI-driven solutions that transform how automotive software work products are verified and validated. We design intelligent testing frameworks, AI-powered quality analytics, and automated validation workflows that ensure software artifacts meet the highest quality standards across the development lifecycle

.Our focus is on connecting AI-based testing solutions directly to CI/CD pipelines, enabling continuous, scalable, and data-driven quality assurance.

These systems automatically assess work products, detect anomalies, and provide actionable insights to development teams, ensuring faster feedback and higher software reliability.

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 across automotive programs. You’ll design Python-based frameworks, define automation architecture, and integrate advanced AI-powered verification connected to CI/CD pipelines.

Key Responsibilities

AI Test 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 automation solutions into Jenkins and GitHub Actions CI/CD pipelines.
• Interact with PL team to bring fully compatible AI automation solutions aligned with CI/CD 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 standards.

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 configuration and maintenance.

Requirements

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 IIS.
• Solid understanding of Git, branching strategies, and workflow automation.
• Good grasp of CI/CD 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.

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