Principal Scala Developer

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. 

• designing, developing, and enhancing scalable backend services using Scala,
• leading performance optimization initiatives across large-scale applications and services,
• proactively investigating, troubleshooting, and resolving complex technical issues impacting system performance and user experience,
• collaborating with cross-functional teams to identify bottlenecks and implement effective technical solutions,
• driving engineering best practices and contributing to the continuous improvement of the platform,
• supporting the onboarding and mentoring of other engineers by sharing technical knowledge and best practices.

• significant commercial experience in Scala backend development, including experience operating at a Principal, Staff, or Lead Engineer level,
• strong background in performance tuning, scalability, and optimization of large-scale systems,
• proven ability to anticipate, analyze, and solve complex technical challenges,
• hands-on experience designing and developing high-quality backend applications,
• practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,
• ability to make technical decisions and drive engineering excellence,
• curiosity and a proactive approach to investigating problems and identifying effective solutions,
• strong collaboration and communication skills,
• good command of English (min. B2).

• 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.

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