Team Lead - DevOps (AI-First Approach)

Join a high-performance engineering team working on mission-critical systems within the fast-growing Cybersecurity industry. As a Platform Team Lead, your mission will be to accelerate developer productivity across the entire CI/CD lifecycle. You will build platform-oriented infrastructure and tooling using an AI-first approach. This is a hybrid leadership role where you will manage a team of talented engineers while remaining a hands-on technical contributor.

We offer

• Rate: 170-180 PLN/h net + VAT (B2B).

• Location: 100% remote

• Language: English is the primary language

• Project Duration: Long-term engagement.

• Recruitment Process: Streamlined 2-stage technical interview process.

Responsibilities

• Leadership & Mentoring: Manage, coach, and lead a squad of engineers, conducting performance reviews and fostering a culture of technical excellence.

• Strategic Roadmap: Define and execute the roadmap for initiatives focused on CI/CD productivity and developer experience.

• Architecture: Design and maintain scalable, secure, and reliable internal tooling via Infrastructure as Code (IaC).

• AI Integration: Act as an AI "power user," building AI-based automations and leveraging an AI-first approach to infrastructure.

• End-to-End Ownership: Manage projects from conception to delivery, including resource allocation, planning, and stakeholder management.

• Technical Contribution: Participate in design, task planning, and high-level troubleshooting alongside your team.

Requirements

• Technical Background: 3+ years of hands-on experience as a Software, DevOps, Infrastructure, or Platform Developer.

• Leadership Experience: 1–2 years of demonstrated experience in people management/leadership.

• Development Skills: Significant experience with Python, Groovy, and Bash.

• Cloud & Containers: Deep knowledge of AWS, Azure, or GCP, and experience with orchestrators like Kubernetes, Docker, or ECS.

• CI/CD & IaC: Proven track record with Terraform, Jenkins, and building full application release cycles.

• AI Proficiency: Experience building AI-based automations and utilizing modern AI tools.

• Systems & Networking: Strong understanding of both Windows and Linux administration, as well as networking foundations (TCP/IP, DNS).

What Makes You Stand Out

• Experience with AWS Bedrock, Agentic AI, MCP, or RAG solutions.

• Strong knowledge of security principles (Threat modeling, Risk management).

• A BA/BS in Computer Science.

• Experience in a "Product-led" engineering environment and Agile practices.