Scala Tech Lead

Описание

At BetSymphony, we are embarking on an ambitious project to revolutionize the online gambling industry. Our vision is to develop a cutting-edge gambling platform that will serve as the backbone for multiple different brands, each with its unique identity and target audience. This platform will leverage the latest technologies to ensure a seamless, secure, and engaging experience for users across the globe.

As a Scala Tech Lead on our team, you will play a pivotal role in bringing this vision to life. You will be involved in every stage of the development process, from initial design to deployment, focusing on creating a scalable, high-performance backend system that can support the diverse needs of multiple brands.

Working on this project will expose you to the latest technologies and challenges in software development, offering ample opportunities for growth and innovation. You will be part of a dynamic team that values creativity, collaboration, and a commitment to excellence.

Requirements

• At least 8 years of experience building backend systems
• At least 5 year of experience working with Scala
• At least 2 years of experience as technical leadership
• Experience building RESTful APIs / WebSockets
• Proficient in Scala and its ecosystem (e.g., Akka, Play Framework, SBT).
• Experience working with distributed messaging systems such as Kafka, ActiveMQ, RabbitMQ, etc.
• Experience with microservices architecture.
• Containerisation technologies (e.g., Docker, Kubernetes).
• Strong understanding of software design patterns, data structures, and algorithms.
• Experience with database technologies (SQL and NoSQL(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+)
• Be able to work in multicultural work environment.
• Strong problem-solving skills.
• Self-organized and able to quickly learn new technologies and paradigms.

Desirable:

• Experience with JIRA, Confluence.
• Implement 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 strategically adopting AI-powered tools (e.g., ChatGPT, GitHub Copilot, Cursor or similar) to optimize engineering workflows at team level.
• 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.

Responsibilities:

• Providing supervision and guidance to team members.
• Reviewing code of teammates, make sure that code quality meet required on project level of quality.
• Writing technical tickets and creating tech design for features.
• New features development within existing product.
• Communicating with team members and Product team.
• Resolving technical problems as they rise.
• Bug fixing of newly developed features (no refactoring of the old code).
• Writing Unit tests and integration tests.
• Scrum ceremonies participation.
• Mentoring middle and junior colleagues might be required