• Build backend features in C# and .NET Core • Maintain APIs using Web API and EF Core • Improve SQL Server queries and stored procedures • Troubleshoot backend and database performance issues • Support Angular modules, components, and services • Contribute to Clean Architecture improvements • Work with engineering and business teams on requirements

• Design, develop, and implement large-scale distributed systems to handle substantial data volumes, ensuring scalability, low latency, and fault tolerance • Implement APIs and event-driven solutions to meet system requirements and enhance functionality • Create and execute comprehensive unit tests, API tests, regression tests, and performance tests to ensure the reliability and efficiency of the system • Utilize modern frontend frameworks like React for web development • Optimize solutions for scalability, reliability, and high performance • Collaborate closely with cross-functional teams to promptly address and resolve production incidents, ensuring minimal downtime and swift recovery

• Lead the technical design and implementation of large-scale data processing and streaming applications. • Define architecture standards and best practices for distributed data platforms. • Design, develop, and optimize batch and real-time data pipelines using Apache Spark and Kafka technologies. • Build and maintain scalable APIs following OpenAPI specifications. • Perform system analysis, identify performance bottlenecks, and implement optimization strategies. • Collaborate with product owners, architects, data engineers, and business stakeholders to translate requirements into technical solutions. • Mentor and support development teams through code reviews, technical guidance, and knowledge sharing. • Ensure solutions are secure, scalable, maintainable, and aligned with enterprise standards. • Drive continuous improvement initiatives across development processes, architecture, and platform reliability. • Participate in technical decision-making and roadmap planning.

• Lead the technical design and implementation of large-scale data processing and streaming applications • Define architecture standards and best practices for distributed data platforms • Design, develop, and optimize batch and real-time data pipelines using Apache Spark and Kafka technologies • Build and maintain scalable APIs following OpenAPI specifications • Perform system analysis, identify performance bottlenecks, and implement optimization strategies • Collaborate with product owners, architects, data engineers, and business stakeholders to translate requirements into technical solutions • Mentor and support development teams through code reviews, technical guidance, and knowledge sharing • Ensure solutions are secure, scalable, maintainable, and aligned with enterprise standards • Drive continuous improvement initiatives across development processes, architecture, and platform reliability • Participate in technical decision-making and roadmap planning