• Analyse existing MS SQL, MySQL, and hybrid (Azure/AWS/on-prem) database architectures and observability maturity levels; • Configure and manage monitoring tools such as SQL Sentry; • Evaluate database performance baselines, resource utilisation patterns, and high availability configurations; • Suggest AI-driven monitoring, anomaly detection, and automated self-healing mechanisms for database operations; • Troubleshoot complex Database infrastructure and application issues; • Produce and maintain comprehensive technical documentation.

• Join an internationally successful development team and help shape a secure, highly available platform. • Write clean and maintainable code while discussing quality and trade-offs openly. • Invest 10% of working time in learning or personal projects. • Take ownership from problem to production and collaborate naturally with teammates.

• Design, build, and maintain modern web applications spanning frontend and backend systems • Contribute to architectural decisions and ensure solutions meet performance, security, reliability, and maintainability standards • Integrate AI coding assistants into daily workflows • Use AI for design, implementation, testing, debugging, refactoring, and documentation • Build guardrails and validation mechanisms to ensure AI-generated code meets production-readiness standards • Contribute to the team's broader engineering practices for agentic software development

• Design, development and enhancement of REST APIs, primarily using Go. • Maintenance and improvement of existing backend services. • Apply Test-Driven Development practices and ensure high code quality through static analysis and linting. • Develop internal CLI tools and supporting utilities. • Work with PostgreSQL, Redis, RabbitMQ/Kafka, S3-compatible storage and containerized environments. • Contribute to CI/CD pipelines and Kubernetes deployments. • Collaborate closely with the engineering team to deliver reliable and scalable backend solutions.