Senior Engineer (AI Enablement & Developer Experience)

Our requirements

• Good coding skills and understanding of software engineering principles
• Solid experience across the full SDLC
• Hands-on experience in DevOps practices/platform engineering
• Genuine interest in AI tooling and practices, with a willingness to learn, experiment with and help adopt new AI-assisted technologies across the engineering organization
• Hands-on experience using AI-assisted software development tools to improve engineering workflows, with the ability to evaluate tool effectiveness, identify adoption patterns and guide teams on practical, responsible usage.
• Comfort working with metrics, observability and data pipelines to turn raw signals into actionable insights
• Work closely with cross-functional teams such as Engineering, Operations and Product Management to ensure seamless integration of new tools and services with a focus on reliability, scalability and performance
• Effective communication skills, both verbal and written, with the ability to collaborate with multidisciplinary teams.

Optional

• Experience building and operating internal tools, platforms or developer-facing services.
• First hand knowledge of Continuous Deployment tools and methodologies.

Your responsibilities

• Design, build and maintain tools and platform services that support the Engineering organization's developer experience and productivity
• Collect, analyze and surface engineering metrics and insights that help teams and leadership make data-informed decisions
• Build and evolve our service catalog and Internal Developer Platform (IDP) capabilities to improve governance, self-service and consistency across engineering teams
• Propose scalable, maintainable and cost-effective solutions for internal tooling and platform problems
• Evaluate, adopt and help roll out AI-assisted tools and practices across the engineering organization and stay current on developments in AI-assisted software development
• Participate in code reviews, provide constructive feedback to peers and actively contribute to maintaining a high standard of code quality and development practices
• Contribute to documentation of components, design patterns and the design system to facilitate knowledge sharing and onboarding of new team members
• Stay up to date with industry trends, best practices and emerging technologies (including AI/ML tooling) and share knowledge with the team to continuously improve our development processes and standards
• Partner with engineering teams to identify high-value AI-assisted development use cases, define adoption practices, measure productivity impact and turn successful experiments into repeatable engineering standards.

About the project

This is how we organize our work

Tech Stack

• Microservices architecture
• Go, Java, Python, TypeScript, etc..
• AWS
• Docker, Kubernetes
• Grafana, Prometheus, ELK stack
• CI/CD platforms and Infrastructure as Code (e.g. ArgoCD, Helm, Crossplane, Terraform)
• AI-assisted developer tooling

What we offer

• Contract: B2B directly with US company
• Rate: up to 170 PLN / h
• 100% remote
• Polish time zone
• Polish public holidays
• Recruitment process: 1-2 technical calls

Recruitment stages

• 1.
  1-2 technical calls