Lead DevOps / Monitoring & Automation Engineer

Lead Developer focused on application reliability, observability, and test automation. Experienced in designing and deploying integration tests for complex, multi-component systems and implementing production monitoring solutions. Combines deep Python expertise with a strong DevOps mindset to ensure system health through automated testing, proactive alerting, and insightful dashboards. A collaborative leader who mentors teams, drives technical clarity, and champions sustainable engineering practices.

• Proficient in Python development and automation.
• Experience with integration testing frameworks such as pytest.
• Skilled in test automation and CI/CD pipelines (GitLab CI, Jenkins, GitHub Actions).
• Hands-on experience with Application Performance Monitoring tools like DataDog.
• Ability to configure observability tools, monitoring agents, and dashboards.
• Experience designing alerting policies and incident response mechanisms.
• Proficient in debugging production issues using telemetry and logs.
• Familiarity with cloud and DevOps basics, including AWS Lambda and API Gateway.

Nice to have:

• Advanced Python skills including asyncio, multithreading, and concurrency.
• Experience with Infrastructure as Code tools like Terraform.
• Familiarity with deploying Python services to Azure Container Apps or Kubernetes.
• Experience with open-source monitoring tools such as Prometheus and Grafana.
• Knowledge of authentication schemes like Basic Auth and OAuth for testing secured APIs.
• Understanding of LLM APIs, LangChain orchestration, Model Context Protocol (MCP), and LangSmith for observability.
• Broader experience with various DevOps tools and hybrid cloud environments.

Core Technical Skills:

• Write clean, maintainable Python code for automation and testing using modern IDEs.
• Design, write, and deploy comprehensive integration tests with pytest and similar frameworks.
• Automate execution of test suites within CI/CD pipelines (GitLab CI, Jenkins, GitHub Actions).
• Use Application Performance Monitoring tools like DataDog to observe production applications.
• Configure monitoring agents, define custom metrics, and create dashboards for application health and performance.
• Design and implement automated alerting policies based on KPIs, error rates, and thresholds.
• Debug production issues using telemetry data and logs, analyze trends, and collaborate to improve stability.
• Deploy applications and test suites to serverless environments like AWS Lambda behind API Gateway; use AWS boto3 and command-line tools for testing and debugging.

Leadership & Collaboration:

• Lead technical discussions and translate system health data into actionable insights.
• Encourage transparency, learning, and shared responsibility for production stability.
• Mentor developers in testing best practices and observability-driven development.
• Collaborate closely with development and operations teams to enhance system reliability.

Work location: Remote with exceptional cases requiring presence at office in Katowice/Łódź.