Perl 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 Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, 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:

• developing and maintaining medium to large-scale applications using Perl,
• designing and implementing solutions based on OOP, MVC, and established design patterns,
• building and maintaining APIs and integrations using JSON and XML,
• working with relational databases and ORM,
• writing unit and integration tests to ensure code quality and reliability,
• contributing to CI/CD processes and supporting continuous delivery,
• collaborating with the team throughout the full software development lifecycle.

Your profile:

• experience in software development across the full software development lifecycle,
• hands-on experience developing medium to large-scale Perl applications,
• knowledge of web-based MVC frameworks such as Mojolicious, Dancer, or Catalyst,
• strong understanding of object-oriented programming (OOP), MVC, and design patterns,
• experience working with JSON/XML APIs and relational databases,
• familiarity with ORM tools and database integration,
• experience with Git and version control workflows,
• knowledge of unit and integration testing practices,
• familiarity with CI/CD tools such as CircleCI or Jenkins,
• practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,
• focus on writing well-designed, testable, efficient, and maintainable code,
• 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