• Develop and maintain features using Java, Spring, and Angular • Work on the evolution, maintenance, and modernization of the Lyceum ERP • Develop and consume REST APIs • Analyze and implement business rules • Fix incidents and perform corrective and enhancement maintenance • Write automated tests and support quality strategies • Participate in technical and functional refinements • Contribute to development estimates • Perform code reviews and share best practices • Participate in incremental deliveries within an agile environment • Support initiatives to reduce technical debt • Contribute to improvements in architecture, performance, and stability • Use generative AI tools to support development, documentation, and understanding of legacy systems

• Develop queries of appropriate complexity, apply query optimizations, and make modifications to database tables • Deliver well-documented code to facilitate understanding and maintenance • Implement measures to ensure application security • Develop and execute unit tests to ensure code quality • Demonstrate familiarity with the Git workflow and the ability to investigate change history • Provide support to other developers based on established guidelines

• Java development using Spring Boot, Apache Camel, and Spring WebFlux; • Design and implementation of RESTful APIs; • Unit, integration, and performance testing; • Distributed systems architecture; • Technical leadership and ownership; • Strong communication and collaboration with other teams; • Clear documentation and technical reasoning; • Investigative mindset and focus on continuous improvement.

Role Description We are seeking an experienced Golang Developer to design and build high-performance backend services, infrastructure tooling, and cloud-native applications using Go. In this role you will work on systems where latency, concurrency, and operational efficiency are first-class concerns, and you will contribute to a codebase shared by engineers across multiple teams. The ideal candidate will combine strong Go expertise with broad systems knowledge, including network programming, container ecosystems, and distributed system design. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of professional software engineering experience, with significant time in Go. - Strong understanding of Go concurrency patterns (goroutines, channels, contexts). - Hands-on experience building production gRPC and/or REST APIs in Go. - Experience with Kubernetes-native development (client-go, controller-runtime). - Solid experience with relational and key-value data stores. - Strong understanding of distributed systems and networking fundamentals. - Experience with CI/CD pipelines and container-based deployment. - Excellent debugging and performance-engineering skills. - Strong communication and documentation skills. Requirements - Design and implement performant backend services and APIs in Go, with strong attention to concurrency, error handling, and resource management. - Build cloud-native applications using Go and Kubernetes-native libraries, applying idiomatic Go patterns, well-defined module boundaries, and operational hooks that make the resulting services easy to deploy and run. - Develop CLI tools, Kubernetes controllers, and custom operators for internal platforms, designing clear command surfaces, robust error handling, and reconciliation logic that operates safely in long-running environments. - Implement gRPC and REST APIs with appropriate observability and security. - Profile and optimize Go applications for memory, GC, and goroutine behavior, applying systematic measurement, targeted improvements, and data-driven validation to deliver quantifiable gains in throughput, latency, or resource efficiency. - Integrate with messaging systems (Kafka, NATS) and data stores (PostgreSQL, Redis, etcd). - Build comprehensive automated tests, including unit, integration, and benchmark tests. - Implement structured logging, metrics emission, and distributed tracing throughout services so that operators and on-call engineers have the signals they need to diagnose issues and reason about system behavior. - Lead code reviews and uphold engineering standards in Go projects. - Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing, helping the broader team grow in technical maturity and confidence over time. - Contribute meaningfully to internal Go libraries, shared platform tooling, and reusable patterns that accelerate development across multiple engineering teams and codify hard-won best practices. - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time. - Continuously evaluate Go ecosystem evolution and contribute to internal patterns. Benefits - Competitive base salary commensurate with experience, plus benefits.