Senior Scala Developer

Xebia; Deutschland; Vor Ort; EUR 70.000 - 120.000; Vollzeit

Zusammenfassung

Xebia, a global AI-first and engineering partner, is seeking a senior Scala backend engineer to design, develop, and optimize backend services for large-scale applications across client projects.

The role emphasizes performance tuning, collaboration with cross-functional teams, and contributing to code quality. Experience with AI tools and a proactive mindset are valued. EU work eligibility is required.

Qualifikationen

• 5+ years of commercial Scala backend development.
• Strong experience building and maintaining scalable backend applications.
• Background in performance tuning and optimization.
• Practical experience using AI-powered assistants to improve delivery.
• Ability to analyze, troubleshoot, and resolve complex issues.
• Strong understanding of backend engineering best practices and design
• Proactive problem-solving and collaboration skills.
• Good command of English (min. B2).

Aufgaben

• Designing, developing, and enhancing backend services using Scala.
• Optimizing performance, scalability, and reliability of large-scale apps.
• Investigating, troubleshooting, and resolving complex production issues.
• Collaborating with cross-functional teams to identify bottlenecks and solutions.
• Contributing to engineering practices and code quality improvements.
• Supporting knowledge sharing and mentoring less experienced engineers.

Kenntnisse

Scala backend development

Scalable backend applications

Performance tuning

AI-powered assistants usage

Troubleshooting complex issues

Backend engineering best practices

Collaboration and communication

English proficiency (B2+)

Tools

Claude Code

GitHub Copilot

Cursor

Jobbeschreibung

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.

You will be:

• designing, developing, and enhancing backend services using Scala,
• optimizing the performance, scalability, and reliability of large-scale applications,
• investigating, troubleshooting, and resolving complex technical issues affecting production systems,
• collaborating with cross-functional teams to identify bottlenecks and implement effective solutions,
• contributing to the continuous improvement of engineering practices and code quality,
• supporting knowledge sharing and mentoring less experienced engineers.

Your profile:

• 5+ years of commercial experience in Scala backend development,
• strong experience building and maintaining scalable backend applications,
• solid background in system performance tuning and optimization,
• 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 analyze, troubleshoot, and resolve complex technical issues,
• strong understanding of backend engineering best practices and software design principles,
• proactive approach to problem-solving and continuous improvement,
• strong collaboration and communication skills,
• good command of English (min. B2).

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

Nice to have:

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.

Recruitment Process:

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