• Maintain and enhance existing PHP-based applications • Analyze and work with legacy codebases and system architecture • Identify, troubleshoot, and fix bugs and performance issues • Refactor legacy code to improve readability, stability, and maintainability • Implement new features within existing system constraints • Support gradual modernization of outdated components • Write clean, structured code aligned with OOP and Clean Code practices • Collaborate with QA, DevOps, and Product teams to ensure stable releases • Write and maintain automated tests where feasible • Contribute to technical documentation • Participate in code reviews and technical discussions

• Design, develop, and maintain backend services and platform components in Go for our AI platform. • Rapidly iterate and deliver new functionality supporting AI-driven products and internal tools. • Build scalable and reliable backend services in Go. • Design and implement APIs and integrations between services and external systems. • Define and design AI solution architectures and drive their implementation together with the engineering team. • Build and orchestrate AI agents and agentic workflows using LLM models and external tools. • Contribute architectural ideas and propose pragmatic technical solutions. • Design systems with clear failure modes and debuggability in mind. • Actively participate in code reviews to maintain high engineering standards. • Collaborate closely with Product Owner to deliver features from concept to production. • Stay up-to-date with the latest developments in AI and integrate emerging technologies when they provide real value. • Support development of frontend applications where needed, in collaboration with the wider team.

• Build and maintain backend services and APIs in Java • Work across multiple microservices (3–4) simultaneously • Collaborate closely with Product Owners on technical direction • Contribute to cloud-native architecture on AWS (90%) + Azure (10%) • Deploy and operate services using Kubernetes and Docker (must-have) • Contribute to Python-based services when needed • Work with analytics and data insights to support decisions • Follow SDLC best practices: testing, code reviews, documentation • Collaborate with DevOps on CI/CD, deployments, scaling

• Build and maintain backend services and APIs in Java • Work across multiple microservices (3–4) simultaneously • Collaborate closely with Product Owners on technical direction • Contribute to cloud-native architecture on AWS (90%) + Azure (10%) • Deploy and operate services using Kubernetes and Docker (must-have) • Contribute to Python-based services when needed • Work with analytics and data insights to support decisions • Follow SDLC best practices: testing, code reviews, documentation • Collaborate with DevOps on CI/CD, deployments, scaling