backend developer in Legal Tech

LawX has a small, fast-moving engineering team working to bridge the gap between AI-driven development speed and the quality standards required for production systems. The team builds for an underserved industry in Europe in a security-critical, compliance-aware environment.

• Implement, review, and refactor backend code, focusing on product standards, integration, maintainability, and production readiness
• Design and enforce backend architecture standards in Java and Python
• Implement security best practices
• Set quality standards through code reviews, testing standards, and engineering documentation
• Contribute to architecture decisions and help build scalable systems
• Set the quality standard for a small, high-output engineering team
• Own backend quality and production readiness

• 5+ Years building and operating production backend systems
• Java (Spring Boot) as the primary language
• Confidently read, review, and refactor Python code
• Experience improving code quality in fast-moving environments and improving inherited codebases
• PostgreSQL knowledge, including query optimization, indexing, transactions, and migrations
• Solid understanding of distributed systems fundamentals, including retries, idempotency, concurrency, async processing, and resilience patterns
• Strong security mindset, including OAuth2/OIDC, Spring Security, OWASP principles, and privacy-by-design
• Strong CI/CD and testing culture; able to write tests and ensure others write tests
• Ability to bring structure and standards to a fast-moving codebase
• Excellent written and spoken English
• Будет плюсом: experience in regulated industries such as Legal Tech, FinTech, or HealthTech; experience working alongside AI or ML teams; Russian language skills; German language skills; Kafka or RabbitMQ; Elasticsearch or OpenSearch

• Real ownership from day one, with immediate influence on quality standards
• Security-critical, compliance-aware environment with distributed systems challenges
• Clear scope: backend quality and production readiness; infrastructure architecture is handled by a dedicated engineer, and AI systems by a dedicated AI team
• The team includes experienced engineers, AI specialists, and former legal professionals