Position Overview

We are seeking an accomplished Software Architect to lead the design, implementation, and governance of enterprisegrade, cloudnative Java applications. In this pivotal role, you will define architectural standards, mentor engineering teams, drive adoption of modern development practices - including AIaugmented workflows - and ensure our systems are built for resilience, scalability, and longterm maintainability.

You will serve as the technical authority across multiple product domains, collaborating closely with product management, DevOps, and senior leadership to align technology decisions with strategic business objectives.

Position Details

Job Title: Software Architect
Department: Engineering - Architecture & Platform
Reports To: VP of Engineering
Location: Remote
Employment Type: Full-Time, Permanent
Experience: 10+ Years Software Engineering; 5+ Years Architecture

Key Responsibilities

Architecture & Design

• Define and enforce enterprise architecture standards, patterns, and conventions across all product domains
• Lead technical design sessions and author Architectural Decision Records (ADRs) for major system changes
• Establish and refine microservices topology, service contracts, and interservice communication strategies
• Oversee database schema design, migration versioning, and data consistency strategies across distributed systems

Engineering Excellence

• Drive adoption of SOLID principles, GangofFour design patterns, and reactive programming paradigms
• Establish code quality gates: minimum 85%+ test coverage enforced via CI/CD pipelines
• Introduce JMH microbenchmarking for performancecritical paths and define SLOs for critical services
• Own OpenAPI/Swagger documentation standards and API versioning governance
• Guide proper exception hierarchy design, structured logging, and observability best practices (traces, metrics, logs)

AIAugmented Development

• Champion integration of AIassisted coding tools (GitHub Copilot, JetBrains AI, Cursor, Claude) into the SDLC
• Define guidelines for safe, productive, and auditable use of LLMgenerated code in production systems
• Evaluate and prototype AI/ML integration patterns: LLM API consumption, retrievalaugmented generation (RAG), embedding pipelines, and vector store integrations within the Java/Spring ecosystem
• Develop internal AIpowered productivity tooling (code reviewers, test generators, documentation assistants) using Spring AI or LangChain4j
• Ensure AIgenerated outputs comply with security, licensing, and intellectual property policies

CloudNative & Infrastructure

• Architect cloudnative solutions on GCP leveraging Kubernetes, service meshes, and managed data services
• Define containerisation, configuration management, and secret management standards
• Lead distributed transaction strategy using Saga patterns, idempotent consumers, and outbox patterns
• Oversee CI/CD pipeline architecture and promote GitOps workflows

Leadership & Mentorship

• Mentor senior and midlevel engineers in architectural thinking, design patterns, and productionreadiness criteria
• Conduct architecture reviews, technical due diligence, and proofofconcept evaluations
• Collaborate with Product and Business stakeholders to translate requirements into actionable technical roadmaps
• Represent the engineering organisation in crossfunctional architecture committees and vendor evaluations

Technical Requirements

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

• DomainDriven 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)
• RetrievalAugmented Generation (RAG) pipelines
• Vector databases
• Embedding models and semantic search
• AIassisted code generation tool governance
• Prompt engineering & chainofthought patterns

Qualifications

Required

• 10+ 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, eventdriven systems, and cloudnative architectures
• Strong command of DDD, CQRS, Event Sourcing, and distributed transaction patterns
• Handson 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 nontechnical audiences

Preferred

• Experience with Spring AI, LangChain4j, or direct LLM/ML API integration in production Java services
• Familiarity with AIassisted development workflows: Copilot, Cursor, JetBrains AI, or equivalent
• Contributions to opensource Java / Spring projects or published technical writing