Tech Lead

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. 

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.  

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. 

• defining and driving the product and technical strategy for a developer-focused platform,
• owning and contributing to platform architecture and shaping scalable technical solutions,
• translating complex infrastructure concepts into intuitive developer workflows and experiences,
• collaborating closely with engineering teams to make architecture-informed product decisions,
• contributing hands-on to technical solutions, coding activities, and code reviews,
• validating ideas and features from both technical and business perspectives,
• acting as a bridge between product, engineering, and stakeholders,
• supporting engineers through mentoring, guidance, and technical leadership,
• driving fast delivery and continuous iteration within a rapidly evolving environment.

• strong experience as a Technical Product Owner, Tech Lead, or similar hybrid technical role,
• hands-on software engineering background with strong technical expertise,
• proven experience building or scaling developer platforms, cloud platforms, CI/CD solutions, or developer tools,
• solid understanding of distributed systems, system architecture, and end-to-end application flows,
• strong knowledge of cloud infrastructure, preferably AWS,
• hands-on experience with containers, Kubernetes, and deployment pipelines,
• experience influencing or owning architecture decisions,
• ability to work effectively in fast-changing environments with evolving requirements,
• strong product mindset with the ability to evaluate ideas and balance technical and business needs,
• experience collaborating closely with engineering teams and guiding technical decisions,
• strong understanding of code quality practices and experience performing code reviews,
• high level of ownership, autonomy, and decision-making capabilities,
• good command of English (B2–C2),
• practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.

• Work from the European Union region and a work permit are required.

• experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work,
• interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches,
• hands-on experience with TypeScript, NestJS, Terraform, Helm, or Docker,
• familiarity with observability tools (e.g. Prometheus, Grafana, OpenTelemetry),
• experience with internal developer platforms or platform engineering practices,
• understanding of platform design trade-offs and scalable system architecture,
• familiarity with usage-based SaaS models, developer tools, APIs, or high-performance environments.

CV review – HR call – Technical Interview – Client Interview – Decision