Systems Architect

Daily tasks

• Acting as Tech Lead in a Scrum team (team support, technological direction, architectural decisions)
• Active programming – implementing business requirements in Java technology
• Designing and developing system and microservices architecture
• Collaborating with the Product Owner and business to refine requirements and translate them into technical solutions
• Establishing technical standards (coding, architecture, integrations) and ensuring their compliance
• Conducting code review and ensuring the quality of code and solutions
• Mentoring and developing the competencies of the development team
• Supporting the team in solving technical problems
• Designing and supervising system and API integration
• Ensuring the performance, security, and scalability of solutions
• Cross-team collaboration (other scrum teams, architecture, DevOps, integrations)
• Participating in technological decisions and risk assessment
• Utilizing the cloud (preferably Azure) in solutions
• Utilizing Agentic AI / AI in the development process (automation, increasing productivity)

Requirements

The role requires active coding for approximately 75% of working time – very good knowledge of Java supported by practical production experience is essential. Minimum 5+ years of experience in designing and building systems (web). Experience in building microservices architectures and distributed systems. Very good knowledge of:

• architectural and integration patterns
• API design and system integration
• DDD (Domain-Driven Design)

Experience in:

• code review, mentoring, and leading a technical team
• cross-team collaboration
• co-creating technological decisions and risk assessment

Knowledge of containerization and orchestration (Docker, Kubernetes) Knowledge of the English language (min. B2)

Practical knowledge of:

• relational databases (SQL, query optimization)
• Event-Driven Architecture
• observability (end-to-end)

NICE TO HAVE REQUIREMENTS:

• Basic/practical knowledge of the cloud (Azure preferred)
• Knowledge of CI/CD and DevOps
• Knowledge of Agentic AI / AI in SDLC (e.g., using AI in development, automation, supporting architectural decisions)

Must have: Java, API, DDD, Domain-driven design, SQL, Docker, Kubernetes, SDLC

Nice to have: DevOps, Azure, AI in SDLC