{"schemaVersion":"jobsearcher.job.v1","id":"c797af628035b8b4ec1d0bb1","url":"https://jobsearcher.com/jobs/c797af628035b8b4ec1d0bb1","canonicalUrl":"https://jobsearcher.com/jobs/c797af628035b8b4ec1d0bb1","title":"Software Architect - Enterprise Java * Cloud-Native * AI-Augmented Development","description":"Software ArchitectWe are seeking an accomplished Software Architect to lead the design, implementation, and governance of enterprise-grade, cloud-native Java applications. In this pivotal role, you will define architectural standards, mentor engineering teams, drive adoption of modern development practices — including AI-augmented workflows — and ensure our systems are built for resilience, scalability, and long-term 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.Key ResponsibilitiesArchitecture & DesignDefine and enforce enterprise architecture standards, patterns, and conventions across all product domainsLead technical design sessions and author Architectural Decision Records (ADRs) for major system changesEstablish and refine microservices topology, service contracts, and inter-service communication strategiesOversee database schema design, migration versioning, and data consistency strategies across distributed systemsEngineering ExcellenceDrive adoption of SOLID principles, Gang-of-Four design patterns, and reactive programming paradigmsEstablish code quality gates: minimum 85%+ test coverage enforced via CI/CD pipelinesIntroduce JMH micro-benchmarking for performance-critical paths and define SLOs for critical servicesOwn OpenAPI/Swagger documentation standards and API versioning governanceGuide proper exception hierarchy design, structured logging, and observability best practices (traces, metrics, logs)AI-Augmented DevelopmentChampion integration of AI-assisted coding tools (GitHub Copilot, JetBrains AI, Cursor, Claude) into the SDLCDefine guidelines for safe, productive, and auditable use of LLM-generated code in production systemsEvaluate and prototype AI/ML integration patterns: LLM API consumption, retrieval-augmented generation (RAG), embedding pipelines, and vector store integrations within the Java/Spring ecosystemDevelop internal AI-powered productivity tooling (code reviewers, test generators, documentation assistants) using Spring AI or LangChain4jEnsure AI-generated outputs comply with security, licensing, and intellectual property policiesCloud-Native & InfrastructureArchitect cloud-native solutions on GCP leveraging Kubernetes, service meshes, and managed data servicesDefine containerisation, configuration management, and secret management standardsLead distributed transaction strategy using Saga patterns, idempotent consumers, and outbox patternsOversee CI/CD pipeline architecture and promote GitOps workflowsLeadership & MentorshipMentor senior and mid-level engineers in architectural thinking, design patterns, and production-readiness criteriaConduct architecture reviews, technical due diligence, and proof-of-concept evaluationsCollaborate with Product and Business stakeholders to translate requirements into actionable technical roadmapsRepresent the engineering organisation in cross-functional architecture committees and vendor evaluationsTechnical RequirementsCore Java & Spring EcosystemJava 17+Spring Boot 3.x & Spring Framework 6.xSpring Security (OAuth 2.1, JWT, OIDC)Spring Data JPA / R2DBC / RedisSpring CloudReactive StreamsMaven & Gradle build toolingHibernate ORM & Flyway migrationsEnterprise Patterns & ArchitectureDomain-Driven Design (Aggregates, Bounded Contexts)CQRS & Event Sourcing (Axon / custom)Saga Pattern (Choreography & Orchestration)Repository & Unit of Work PatternSpecification Pattern for query compositionStrategy, Factory, Builder, and Decorator PatternsDependency Injection mastery (Spring IoC)Quality, Testing & ObservabilityJUnit 5, Mockito, TestContainers, ArchUnitJMH Benchmarking & performance profilingSonarQube, OWASP Dependency CheckOpenAPI 3.x / Swagger documentationMicrometer + Prometheus + GrafanaDistributed tracing (OpenTelemetry, Jaeger, Zipkin)Resilience testingCloud, Messaging & DataGCP (container & serverless services)Kubernetes, Helm, ArgoCDApache KafkaPostgreSQL, MySQL, MongoDB, RedisgRPC & Protocol BuffersGraphQLREST API design best practicesAI & Machine Learning IntegrationSpring AI / LangChain4j framework experienceLLM API integration (OpenAI, Anthropic)Retrieval-Augmented Generation (RAG) pipelinesVector databasesEmbedding models and semantic searchAI-assisted code generation tool governancePrompt engineering & chain-of-thought patternsQualificationsRequired15+ years of professional software engineering experience with 5+ years in a software architect or principal engineer roleDeep expertise in Java 17+, Spring Boot 3.x, and the broader enterprise Java ecosystemDemonstrable production experience with microservices, event-driven systems, and cloud-native architecturesStrong command of DDD, CQRS, Event Sourcing, and distributed transaction patternsHands-on experience with containerised deployments on Kubernetes in a major cloud providerProven ability to mentor and elevate the technical skills of engineering teamsExcellent written and verbal communication for both technical and non-technical audiencesPreferredExperience with 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In this pivotal role, you will define architectural standards, mentor engineering teams, drive adoption of modern development practices — including AI-augmented workflows — and ensure our systems are built for resilience, scalability, and long-term 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.Key ResponsibilitiesArchitecture & DesignDefine and enforce enterprise architecture standards, patterns, and conventions across all product domainsLead technical design sessions and author Architectural Decision Records (ADRs) for major system changesEstablish and refine microservices topology, service contracts, and inter-service communication strategiesOversee database schema design, migration versioning, and data consistency strategies across distributed systemsEngineering ExcellenceDrive adoption of SOLID principles, Gang-of-Four design patterns, and reactive programming paradigmsEstablish code quality gates: minimum 85%+ test coverage enforced via CI/CD pipelinesIntroduce JMH micro-benchmarking for performance-critical paths and define SLOs for critical servicesOwn OpenAPI/Swagger documentation standards and API versioning governanceGuide proper exception hierarchy design, structured logging, and observability best practices (traces, metrics, logs)AI-Augmented DevelopmentChampion integration of AI-assisted coding tools (GitHub Copilot, JetBrains AI, Cursor, Claude) into the SDLCDefine guidelines for safe, productive, and auditable use of LLM-generated code in production systemsEvaluate and prototype AI/ML integration patterns: LLM API consumption, retrieval-augmented generation (RAG), embedding pipelines, and vector store integrations within the Java/Spring ecosystemDevelop internal AI-powered productivity tooling (code reviewers, test generators, documentation assistants) using Spring AI or LangChain4jEnsure AI-generated outputs comply with security, licensing, and intellectual property policiesCloud-Native & InfrastructureArchitect cloud-native solutions on GCP leveraging Kubernetes, service meshes, and managed data servicesDefine containerisation, configuration management, and secret management standardsLead distributed transaction strategy using Saga patterns, idempotent consumers, and outbox patternsOversee CI/CD pipeline architecture and promote GitOps workflowsLeadership & MentorshipMentor senior and mid-level engineers in architectural thinking, design patterns, and production-readiness criteriaConduct architecture reviews, technical due diligence, and proof-of-concept evaluationsCollaborate with Product and Business stakeholders to translate requirements into actionable technical roadmapsRepresent the engineering organisation in cross-functional architecture committees and vendor evaluationsTechnical RequirementsCore Java & Spring EcosystemJava 17+Spring Boot 3.x & Spring Framework 6.xSpring Security (OAuth 2.1, JWT, OIDC)Spring Data JPA / R2DBC / RedisSpring CloudReactive StreamsMaven & Gradle build toolingHibernate ORM & Flyway migrationsEnterprise Patterns & ArchitectureDomain-Driven Design (Aggregates, Bounded Contexts)CQRS & Event Sourcing (Axon / custom)Saga Pattern (Choreography & Orchestration)Repository & Unit of Work PatternSpecification Pattern for query compositionStrategy, Factory, Builder, and Decorator PatternsDependency Injection mastery (Spring IoC)Quality, Testing & ObservabilityJUnit 5, Mockito, TestContainers, ArchUnitJMH Benchmarking & performance profilingSonarQube, OWASP Dependency CheckOpenAPI 3.x / Swagger documentationMicrometer + Prometheus + GrafanaDistributed tracing (OpenTelemetry, Jaeger, Zipkin)Resilience testingCloud, Messaging & DataGCP (container & serverless services)Kubernetes, Helm, ArgoCDApache KafkaPostgreSQL, MySQL, MongoDB, RedisgRPC & Protocol BuffersGraphQLREST API design best practicesAI & Machine Learning IntegrationSpring AI / LangChain4j framework experienceLLM API integration (OpenAI, Anthropic)Retrieval-Augmented Generation (RAG) pipelinesVector databasesEmbedding models and semantic searchAI-assisted code generation tool governancePrompt engineering & chain-of-thought patternsQualificationsRequired15+ years of professional software engineering experience with 5+ years in a software architect or principal engineer roleDeep expertise in Java 17+, Spring Boot 3.x, and the broader enterprise Java ecosystemDemonstrable production experience with microservices, event-driven systems, and cloud-native architecturesStrong command of DDD, CQRS, Event Sourcing, and distributed transaction patternsHands-on experience with containerised deployments on Kubernetes in a major cloud providerProven ability to mentor and elevate the technical skills of engineering teamsExcellent written and verbal communication for both technical and non-technical audiencesPreferredExperience with Spring AI, LangChain4j, or direct LLM/ML API integration in production Java servicesFamiliarity with AI-assisted development workflows: Copilot, Cursor, JetBrains AI, or equivalentContributions to open-source Java / Spring projects or published technical writing","datePosted":"2026-10-16T14:08:00.853Z","dateModified":"2026-10-16T14:08:00.853Z","hiringOrganization":{"@type":"Organization","name":"Zact","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c797af628035b8b4ec1d0bb1"},"url":"https://jobsearcher.com/jobs/c797af628035b8b4ec1d0bb1"}}