Java Software Engineer
Summary
Backend Java engineer at Capital.com, a global trading platform, designing scalable, low-latency, event-driven services in Java/Spring with SQL databases, Kafka, Kubernetes, and CI/CD for a fintech trading product. Warsaw-based with hybrid (3 days in office) or fully remote within the country of employment.
Core responsibilities:
- Design and build scalable, low-latency, and high-performance backend services
- Develop distributed and asynchronous systems ensuring reliability and fault tolerance
- Optimise performance across JVM, databases, caching, and networking layers
- Apply security best practices in handling client PII and financial transactions
- Use event-driven architectures and modern messaging solutions (e.g. Kafka)
- Collaborate with cross-functional teams to align architecture with business needs
- Maintain high code quality through testing, code reviews, and CI/CD practices
- Leverage AI tools to accelerate development, testing, and delivery
What you will need: Experience & domain knowledge:
- Proven experience in FinTech, Banking, or related financial domains
- Strong understanding of distributed systems architecture and the client–server model
- Ability to design and maintain scalable, low-latency, high-performance systems
- Solid knowledge of concurrency, multithreading, and asynchronous programming
- Awareness of security best practices in handling PII and financial transactions
- Basic understanding of network protocols and troubleshooting
- Experience working in a product-led fast-paced environment as a team player
Technical skills:
- Java and Spring: Advanced knowledge of Java Core technologies and the Spring framework
- Data Mastery: Proficiency with SQL databases, ensuring optimal performance, structure, and replication
- Concurrency & Async programming: advanced understanding and hands-on experience in asynchronous programming methods.
- Events streaming: Understanding of the event driven architecture (Kafka or similar solutions).
- Operational Proficiency: Understanding and hands-on experience with Ops activities, Kubernetes, pipelines, Fit Flow and modern CI/CD patterns and strategies
- AI tools: ability to effectively use AI technologies in engineering work e.g. applying AI for coding assistance, debugging, testing, documentation, and optimisation of workflows
Soft skills:
- Communication: Effective communication skills, especially with teams responsible for security, operations and product
- Analytical thinking: Ability to tackle and investigate complicated problems and convert it to the task
- Adaptability to Rapid Changes: Demonstrated capability to adjust to quick technological shifts and evolving business requirements
- Ownership and Accountability: Readiness to take ownership of tasks, issues as well as demonstrate accountability of the results and outcome
Nice to have:
- Performance: Knowledge of JVM performance optimization practices
- No-SQL: Experience working with no-SQL databases is a big plus
- In-memory storage: Strong knowledge of in-memory cache solutions
What you will get in return:
- Competitive salary and annual performance-based bonus
- Generous annual leave policy
- Health insurance and pension fund, with additional benefits depending on location
- Hybrid working model (3 days from office) or fully remote across the country of employment
- Workation policy (30 days remote from anywhere in the world)
- Two additional paid days per year dedicated to volunteering