Scala Tech Lead

Symphony Solutions is a Cloud- and AI-driven technology company headquartered in the Netherlands, delivering both world-class services and innovative products. With a remote-first mindset, they have a global presence spanning over 20 countries. They provide custom software solutions for Airline, Healthcare, iGaming, E-learning, e-Commerce, and Supply Chain sectors.

• At least 8 years of experience building backend systems.
• At least 5 years of experience working with Scala.
• At least 2 years of experience in technical leadership.
• Experience building RESTful APIs and WebSockets.
• Proficient in Scala and its ecosystem (e.g., Akka, Play Framework, SBT).
• Experience with distributed messaging systems such as Kafka, ActiveMQ, RabbitMQ.
• Experience with microservices architecture.
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Strong understanding of software design patterns, data structures, and algorithms.
• Experience with database technologies (SQL and NoSQL, including Cassandra / DSE Search).
• Familiarity with cloud services (AWS, GCP, or Azure) and DevOps tools (CI/CD pipelines).
• Strong written and verbal communication skills in English (B2+).
• Ability to work in a multicultural work environment.
• Strong problem-solving skills.
• Self-organized and able to quickly learn new technologies and paradigms.

Desirable:

• Experience with JIRA and Confluence.
• Implementation of reporting/analytics using Big Data processing tools (Apache Spark in DSE Analytics).
• Experience in gambling or online gaming.
• Experience with TDD development processes.

Desirable AI Requirements:

• Strong interest in adopting AI-powered tools (e.g., ChatGPT, GitHub Copilot, Cursor) to optimize engineering workflows.
• Proven ability to leverage AI to accelerate delivery, improve architectural decisions, enhance code quality, and reduce technical debt.
• Experience integrating AI into the development lifecycle including code generation, refactoring, debugging, automated test creation, documentation, and code reviews.
• Ability to define and promote AI best practices within the team ensuring responsible, secure, and efficient usage.
• Proactive mindset toward experimenting with emerging AI tools and driving continuous improvement in engineering productivity.
• Understanding of AI limitations, risks, and governance considerations when used in production environments.

• Providing supervision and guidance to team members.
• Reviewing code of teammates to ensure project-level code quality.
• Writing technical tickets and creating technical designs for features.
• Developing new features within the existing product.
• Communicating with team members and the Product team.
• Resolving technical problems as they arise.
• Bug fixing of newly developed features (no refactoring of old code).
• Writing unit tests and integration tests.
• Participating in Scrum ceremonies.
• Mentoring middle and junior colleagues as needed.