Software Architect - Enterprise Java * Cloud-Native * AI-Augmented Development

Core Java & Spring Ecosystem

• Java 17+
• Spring Boot 3.x & Spring Framework 6.x
• Spring Security (OAuth 2.1, JWT, OIDC)
• Spring Data JPA / R2DBC / Redis
• Spring Cloud
• Reactive Streams
• Maven & Gradle build tooling
• Hibernate ORM & Flyway migrations

Enterprise Patterns & Architecture

• Domain‑Driven Design (Aggregates, Bounded Contexts)
• CQRS & Event Sourcing (Axon / custom)
• Saga Pattern (Choreography & Orchestration)
• Repository & Unit of Work Pattern
• Specification Pattern for query composition
• Strategy, Factory, Builder, and Decorator Patterns
• Dependency Injection mastery (Spring IoC)

Quality, Testing & Observability

• JUnit 5, Mockito, TestContainers, ArchUnit
• JMH Benchmarking & performance profiling
• SonarQube, OWASP Dependency Check
• OpenAPI 3.x / Swagger documentation
• Micrometer + Prometheus + Grafana
• Distributed tracing (OpenTelemetry, Jaeger, Zipkin)
• Resilience testing

Cloud, Messaging & Data

• GCP (container & serverless services)
• Kubernetes, Helm, ArgoCD
• Apache Kafka
• PostgreSQL, MySQL, MongoDB, Redis
• gRPC & Protocol Buffers
• GraphQL
• REST API design best practices

AI & Machine Learning Integration

• Spring AI / LangChain4j framework experience
• LLM API integration (OpenAI, Anthropic)
• Retrieval‑Augmented Generation (RAG) pipelines
• Vector databases
• Embedding models and semantic search
• AI‑assisted code generation tool governance
• Prompt engineering & chain‑of‑thought patterns

Required

• 15+ years of professional software engineering experience with 5+ years in a software architect or principal engineer role
• Deep expertise in Java 17+, Spring Boot 3.x, and the broader enterprise Java ecosystem
• Demonstrable production experience with microservices, event‑driven systems, and cloud‑native architectures
• Strong command of DDD, CQRS, Event Sourcing, and distributed transaction patterns
• Hands‑on experience with containerised deployments on Kubernetes in a major cloud provider
• Proven ability to mentor and elevate the technical skills of engineering teams
• Excellent written and verbal communication for both technical and non‑technical audiences
• Experience with Spring AI, LangChain4j, or direct LLM/ML API integration in production Java services
• Familiarity with AI‑assisted development workflows: Copilot, Cursor, JetBrains AI, or equivalent
• Contributions to open‑source Java / Spring projects or published technical writing

Originally posted on Himalayas