Logo for Zact

Software Architect - Enterprise Java * Cloud-Native * AI-Augmented Development at Zact Inc.

Roles & Responsibilities

  • 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, event-driven systems, and cloud-native architectures
  • Strong command of Domain-Driven Design (DDD), CQRS, Event Sourcing, and distributed transaction patterns

Requirements:

  • Define and enforce enterprise architecture standards, patterns, and conventions across all product domains; lead technical design sessions and author Architectural Decision Records; establish microservices topology, service contracts, and inter-service communication strategies; oversee database schema design, migrations, and data consistency across distributed systems
  • Drive engineering excellence by promoting SOLID principles, Gang-of-Four design patterns, and reactive programming; establish code quality gates with minimum 85%+ test coverage enforced via CI/CD pipelines; introduce JMH micro-benchmarking for performance-critical paths; guide OpenAPI/Swagger documentation standards and API versioning; oversee structured logging and observability practices (traces, metrics, logs)
  • Champion AI-Augmented Development by integrating AI-assisted coding tools into the SDLC, defining safe, auditable use of LLM-generated code, and implementing AI/ML integration patterns (LLM APIs, RAG, embeddings, vector stores) within the Java/Spring ecosystem; develop internal AI-powered productivity tooling; ensure AI outputs comply with security, licensing, and IP policies
  • Architect cloud-native solutions on GCP using Kubernetes and managed data services; define containerisation, configuration, and secret management standards; lead distributed transaction strategies (Saga, idempotent consumers, outbox); oversee CI/CD and promote GitOps workflows

Job description

Position Overview

We 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.

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 inter‑service communication strategies
  • Oversee database schema design, migration versioning, and data consistency strategies across distributed systems

Engineering Excellence

  • Drive adoption of SOLID principles, Gang‑of‑Four design patterns, and reactive programming paradigms
  • Establish code quality gates: minimum 85%+ test coverage enforced via CI/CD pipelines
  • Introduce JMH micro‑benchmarking for performance‑critical 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)

AI‑Augmented Development

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

Cloud‑Native & Infrastructure

  • Architect cloud‑native 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 mid‑level engineers in architectural thinking, design patterns, and production‑readiness criteria
  • Conduct architecture reviews, technical due diligence, and proof‑of‑concept evaluations
  • Collaborate with Product and Business stakeholders to translate requirements into actionable technical roadmaps
  • Represent the engineering organisation in cross‑functional 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

  • 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

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, 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

Preferred

  • 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

Enterprise Architect Related jobs

Other jobs at Zact

We help you get seen. Not ignored.

We help you get seen faster — by the right people.

🚀

Auto-Apply

We apply for you — automatically and instantly.

Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

AI Match Feedback

Know your real match before you apply.

Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

Upgrade to Premium. Apply smarter and get noticed.

Upgrade to Premium

Join thousands of professionals who got noticed and hired faster.