Zact
Software Architect - Enterprise Java * Cloud-Native * AI-Augmented Development
Be an Early Applicant
Leads enterprise architecture for cloud-native Java applications across multiple product domains. Defines architecture standards, microservices, APIs, data strategies, observability, testing, CI/CD, and Kubernetes-based GCP deployments. Drives AI-augmented development, including LLM integrations, RAG, vector stores, and internal productivity tools. Mentors engineers, conducts architecture reviews, evaluates technologies, and aligns technical roadmaps with business objectives.
Position Overview
We are seeking an accomplished Senior 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 & 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
- 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)
- 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
- Architect cloud‑native solutions on GCP leveraging Kubernetes, service meshes, and managed data services
- Define containerization, 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
- Mentor senior to 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 organization in cross‑functional architecture committees and vendor evaluations
- 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
- 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)
- 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
- GCP (container & serverless services)
- Kubernetes, Helm, ArgoCD
- Apache Kafka
- PostgreSQL, MySQL, MongoDB, Redis
- gRPC & Protocol Buffers
- GraphQL
- REST API design best practices
- 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
- Senior level software engineering experience with 5+ years in a software architect or principal engineer role
- 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 containerized 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
- Fintech experience
Similar Jobs
Fintech • Financial Services
Leads software engineering initiatives focused on generative AI. Designs, codes, tests, debugs, documents, and deploys complex technology solutions while guiding less experienced engineers. Develops AI and machine learning applications, including RAG pipelines, model training, tuning, microservices, cloud infrastructure, integrations, CI/CD, observability, and DevOps practices. Collaborates with technical stakeholders, resolves complex issues, supports enterprise risk and compliance requirements, and evaluates emerging technologies through proofs of concept.
Top Skills:
AjaxAngularAnsibleSparkAWSAzureDatadogDevOpsElk StackGoogle Cloud Platform (Gcp)GrafanaHadoopHarnessInfrastructure As CodeJavaScriptJenkinsJqueryLangchainLanggraphLarge Language Models (Llms)MicroservicesPrometheusPythonPyTorchReactRestRetrieval-Augmented Generation (Rag)ServicenowSoapTensorFlowTest-Driven DevelopmentVector Databases
Fintech • Financial Services
Supports institutional investment operations through trade processing, transaction reconciliation, inquiry research, exception resolution, documentation review, and operational issue management. Maintains risk, audit, compliance, and control requirements; recommends process improvements; participates in initiatives; and guides less experienced team members. Collaborates with internal and external stakeholders to deliver accurate, timely services. Requires at least two years of institutional investment operations experience and availability for a 5:30 PM to 2:30 AM shift.
Fintech • Financial Services
Develop, test, debug, document, upgrade, and deploy Java full-stack applications and microservices. Improve service quality and availability, evaluate technology solutions, resolve technical issues, and support security and compliance requirements. The role requires strong experience with Java, microservices architecture, APIs, cloud and distributed systems, Angular front-end development, testing frameworks, observability tools, and modern architectural patterns. Candidates may also lead a small technical team and contribute to Scrum-based development.
Top Skills:
Ai ToolsAngularAngularjsApigeeAppdynamicsAWSBootstrapCucumberDistributed LoggingDistributed TracingDomain-Driven DesignElk StackFongoGitGradleJ2EeJavaJunitKafkaMicroservicesMockitoMongoDBPcfPrimengRdbmsService DiscoveryService MeshSplunkSpring Cloud GatewayTestng
What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
