You will design and build high-performance, cloud-native backend services using Java + Quarkus, deployed to OpenShift, and integrated with identity services and messaging platforms. This role suits a seasoned engineer who enjoys hands-on delivery, is passionate about technology, and thrives in an environment where solutions are refined through learning, experimentation, trial-and-error, and continuous improvement

• Design, develop, test, and maintain RESTful APIs and backend services for mission-critical attendance workflows
  
• Drive system performance and scalability: throughput, latency, concurrency, DB efficiency, caching, and resilience
  
• Build event-driven / asynchronous processing flows using messaging platforms for decoupling and reliability
  
• Collaborate with analysts, frontend/mobile developers, and infrastructure team to translate requirements into clean domain models and APIs
  
• Establish engineering quality via code review, automated testing, CI/CD practices, observability, and production readiness
  
• Troubleshoot complex issues across application, database, and infrastructure layers (logs/metrics/traces)

• Have a Degree in Computer Science, Computer Engineering, Information Engineering, or related IT disciplines, or equivalent
• At least 3 years of relevant post-qualification working experience
• At least 2 years' post-qualification experience in application development, implementation, or maintenance for the role of Analyst Programmer or equivalent position
  
• At least 1 year of working experience as an Analyst Programmer
  
• High-performance backend
  
  • Hands-on Quarkus or Spring (REST, CDI, config) building production backend services
    
  • Performance-focused API delivery (throughput/latency), profiling & tuning mindset
    
• OpenShift + Helm
  
  • Deploy and operate Quarkus services on OpenShift/Kubernetes
    
  • Helm-based packaging/deployment (values per env, config/secret, probes, resources, rollout)
    
• Messaging / Event-driven
  
  • Experience with AMQP 1.0 / Artemis / RabbitMQ / Kafka
    
  • Understand durability, ack/retry/DLQ, ordering/idempotency, consumer scaling, backpressure/flow control
    
• Scalability / Resilience patterns
  
  • Practical use of load balancing, partitioning/sharding concepts, caching, retry/backoff, timeout/circuit breaker, bulkhead, rate limiting
    
  • Bonus: CQRS / event sourcing
    
• Business-to-API translation
  
  • Convert business workflows into clean, maintainable, performant APIs (modeling, validation, error semantics, auditability)
    
• Engineering + cloud-native basics
  
  • Strong Linux + Git; Docker/Docker Compose for dev/test; solid cloud-native fundamentals and troubleshooting
    
• Database / ORM
  
  • Hibernate ORM/JPA with performance awareness (N+1 avoidance, batching, transactions, query/index basics)
    
  • PostgreSQL and Oracle familiarity.
    
• Auth / Identity
  
  • OIDC/JWT token-based auth; Keycloak integration preferred
    
  • Bonus: iAMSmart and AD/LDAP concepts.
    
• DevOps toolchain
  
  • Maven and Nexus (consume/publish artifacts), Bash automation
    
  • CI/CD with Azure DevOps Pipelines (YAML, env/secret handling, container builds/deploy)
    
• Candidates will be required to complete a 30-minute written technical test during the interview to demonstrate their technical qualifications and problem-solving abilities
  
• The job requires the following mandatory skills:
  
  • 3 years x IT Application Development and Management, Client/Server Application Development, JAVA Programming, Object-oriented Analysis and Design and SQL*PLUS/PL/SQL/PRO*C
    
  • 1 year x Business Process Re-engineering and Business Process Modeling