💻 Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.

With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.

By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.

🔹 For our Client we are looking for Lead DevOps / Monitoring & Automation Engineer🔹

Work location: Remote - In exceptional cases, there may be a need to be present at the office (Katowice/Łódź)

A highly capable 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.

✔️Must-have:

Core Technical Skills:

• Python Development: Able to write clean, maintainable Python code for automation and testing purposes using a modern IDE (e.g., VS Code, PyCharm).
• Integration Testing: Proficient with pytest and similar frameworks to design, write, and deploy comprehensive integration tests that validate end-to-end functionality and inter-component communication across distributed applications.
• Test Automation & CI/CD: Experience automating the execution of test suites within CI/CD pipelines (e.g., GitLab CI, Jenkins, GitHub Actions) to ensure continuous quality.
• Application Monitoring: Hands-on experience with Application Performance Monitoring (APM) tools (such as DataDog, or similar) to observe production applications.
• Observability Configuration: Skilled in configuring monitoring agents, defining custom metrics, and creating informative dashboards to visualize application health and performance.
• Alerting & Incident Response: Proven ability to design and implement automated alerting policies based on key performance indicators (KPIs), error rates, and thresholds to enable proactive incident response.
• Debugging & Analysis: Proficient in using telemetry data and logs to debug production issues, analyze trends, and collaborate with teams to improve application stability.
• Cloud & DevOps Basics: Familiar with deploying applications and test suites to serverless environments like AWS Lambda behind API Gateway. Comfortable using AWS boto3 and command-line tools (e.g., curl) for testing and debugging.

Leadership & Collaboration:

• Strong communicator who can lead technical discussions and translate complex system health data into actionable insights for development teams.
• Encourages a culture of transparency, learning, and shared responsibility for production stability.
• Skilled at mentoring developers in testing best practices and observability-driven development.
• Thrives in cross-functional collaboration, working closely with development and operations teams to enhance system reliability.

Professional Traits:

• Proactive and highly engaged in ensuring team and system success.
• Brings structure and calmness to incident management and complex engineering environments.
• Driven by a desire to build reliable systems through rigorous testing and intelligent monitoring.
• Values code quality, maintainability, and sustainable engineering practices.

✔️Nice-to-have:

Supplementary Technical Skills:

• Advanced Python: Comfortable writing and debugging asyncio-based asynchronous code. Strong understanding of multithreading and concurrency in Python.
• Infrastructure as Code (IaC): Experience with Terraform for managing cloud resources.
• Wider Cloud Exposure: Familiarity with deploying Python services to Azure Container Apps or other container orchestration platforms (e.g., Kubernetes).
• Alternative Observability Tools: Experience with open-source monitoring stacks like Prometheus and Grafana.
• Security & Authentication: Familiarity with authentication schemes including Basic Auth and OAuth, particularly in the context of testing secured API endpoints.
• LLM & AI Ecosystem: Knowledge of modern LLM APIs, experience with LangChain for orchestration, or an understanding of the Model Context Protocol (MCP), LangSmith for observability.

Broader Technical Background

• Familiarity with a wider range of DevOps tools and practices beyond the core CI/CD mentioned above.
• Experience with other cloud providers or hybrid cloud environments.

✔️ We offer:

• B2B agreement
• Transparent working conditions with both Ework and the client
• Current support during our cooperation
• Possibility to work in an international environment
• Collaborative environment in Swedish organizational culture
• Private medical care
• Life insurance
• Multisport
• Teambuilding events

Contact person: karolina.rosikiewicz@eworkgroup.com

Client code: SF01

Do you know someone who would fit this position? Recommend a candidate by sending her/his CV to: polecenia@eworkgroup.com

Whistleblowing Policy, which provides guidelines for reporting misconduct can be found on Ework website: https://www.eworkgroup.com/about-us/our-responsibility