01 Zakres zadań

Own platform vision, strategy, and long-term roadmap.
Translate developer needs and business objectives into platform capabilities.
Prioritise backlog and drive roadmap execution based on business value and technical impact.
Lead product discovery, define MVPs, validate new capabilities.
Collaborate with engineering teams and architects on platform evolution.
Participate in architectural discussions on scalability, resilience, security, observability, multi-tenancy.
Design intuitive developer experiences, simplify deployment and operational workflows.
Gather feedback from users and engineering teams to improve platform.
Align technical and business stakeholders around product strategy and delivery.
Drive platform standards, challenge technical assumptions, contribute to solution design.
Lead evolution of developer platform (like Railway, Vercel, Netlify) to simplify app deployment and operations.

02 Wymagania

12 must-have · 1 język

Must-have

AWS

Zaawansowany

Kubernetes

Zaawansowany

Docker

Zaawansowany

Platform architecture

Zaawansowany

Zarządzanie interesariuszami

Zaawansowany

Komunikacja

Zaawansowany

Cloud networking

Zaawansowany

Infrastructure automation

Zaawansowany

Cloud-native architecture

Zaawansowany

Platform engineering

Zaawansowany

Product strategy

Zaawansowany

Metrics-driven decision making

Zaawansowany

Wymagane języki

Angielski

Zaawansowany

03 Profil kandydata

Key requirements:

Experience as Technical Product Owner, Tech Lead, Staff/Principal Engineer, Solutions Architect, or similar.
Experience owning developer-focused platform products or IDPs.
Understanding of cloud-native architectures and platform engineering.
Hands-on AWS, Kubernetes, Docker, cloud networking, infrastructure automation.
Understanding platform architecture: multi-tenancy, Control/Data Plane, deployment workflows, service orchestration, scalability.
Experience defining product strategy, owning roadmaps, prioritising, leading discovery.
Stakeholder management, bridging engineering and business.
Metrics-driven product decisions.
Working with engineers, challenging decisions, driving best practices.
Practical experience with AI assistants (ChatGPT, Claude, Copilot) to improve productivity.
EU work permit required.

Nice to have:

Terraform, Helm, ArgoCD, GitHub Actions, GitOps.
Prometheus, Grafana, OpenTelemetry.
TypeScript, Node.js, NestJS.
Usage-based pricing, metering, billing systems.
Edge Computing, CDN, high-performance networking.

04 O firmie

Xebia

1-5k · Wrocław

Xebia is a global, award-winning, AI-first consulting, software engineering, and training company. We shape tomorrow with AI today—helping organizations turn AI strategy into production-ready solutions that drive real transformation, faster.

Xebia operates as a single global team, designed for speed, scale, and impact, bringing together deep human expertise and the power of AI in everything we deliver.

Our flexible delivery model combines client-facing teams in the US and Europe with nearshore capacity across Poland and Latin America, as well as a large-scale offshore hub in India working as a single, integrated network.

The result is a sophisticated hybrid model that combines local expertise with global reach. For our clients, this means faster time-to-value, easier access to highly specialized digital and AI talent, and the flexibility to scale solutions at the speed of business.

With round-the-clock delivery, built-in scalability, cultural alignment, and a strong focus on attracting and retaining the best global talent, we help global organizations build, scale, and innovate with confidence.

Zobacz ogłoszenia Strona www