Java Spring Boot Developer

Role overview

Java Spring Boot Developer at Bounteous

You will bring strong expertise in Java, Spring Boot, and Apache Kafka - building scalable, resilient backend services deployed on Azure (preferred) or AWS cloud platforms.

We are looking for a skilled Java Developer with 6+ years of experience to design, develop, and maintain enterprise-grade microservices and event-driven applications.

You will work closely with architects, product owners, and cross-functional engineering teams to deliver high-quality, cloud-native solutions that leverage modern messaging, API, and search capabilities at enterprise scale.

Responsibilities

• Java & Spring Boot Development Design, develop, test, and maintain scalable Java microservices using Spring Boot - applying clean architecture, SOLID principles, and well-established design patterns for production-grade, maintainable codebases.
• Build and expose secure, well-documented RESTful APIs - following API-first design principles, OpenAPI / Swagger documentation standards, versioning strategies, and performance best practices.
• Develop and optimise data access layers using Spring Data JPA / Hibernate - managing complex entity relationships, query optimisation, and database migration strategies across relational and NoSQL databases.
• Write comprehensive unit and integration tests using JUnit and Mockito - maintaining high code coverage and regression confidence through test-driven development practices.
• Participate actively in code reviews - providing constructive technical feedback and upholding coding standards, security practices, and architectural consistency across the team.
• Apache Kafka & Event-Driven Architecture Design and implement event-driven microservices using Apache Kafka - developing producers, consumers, and Kafka Streams applications with Spring Kafka for reliable, scalable messaging at enterprise scale.
• Design Kafka topic architecture - defining partitioning strategies, replication factors, retention policies, and consumer group configurations aligned to throughput, ordering, and fault-tolerance requirements.
• Implement robust error handling patterns - Dead Letter Queues (DLQ), retry strategies, and poison pill handling - ensuring resilient, recoverable Kafka consumer behaviour in production.
• Configure Kafka Schema Registry with Avro or Protobuf - enforcing schema evolution governance and backward / forward compatibility across event-driven service boundaries.
• Implement exactly-once semantics and delivery guarantee patterns where business requirements demand strong consistency across distributed event streams.
• Monitor and troubleshoot Kafka cluster health - consumer lag, partition rebalancing, broker performance, and throughput metrics - using Kafka UI, Confluent Control Centre, or equivalent monitoring tools.
• Azure Cloud (Preferred) Design and deploy cloud-native Java microservices on Azure - leveraging AKS, App Services, Azure Functions, and Azure Container Registry for scalable, managed application hosting.
• Integrate applications with Azure messaging services - Azure Service Bus, Event Hub, and Event Grid - alongside Kafka for hybrid event-driven architectures where applicable.
• Implement Azure security best practices - Managed Identities, Azure Key Vault, Azure AD RBAC, and Private Endpoints - ensuring secure, least-privilege access across all application and infrastructure components.
• Configure Azure monitoring and observability - Application Insights, Azure Monitor, and Log Analytics - providing comprehensive production visibility and enabling rapid incident detection and resolution.
• Build and maintain CI/CD pipelines using Azure DevOps - automating build, test, security scanning, and deployment workflows across Dev, Test, and Production environments on Azure.
• Manage Azure database services - Azure SQL, Cosmos DB, and Azure Database for PostgreSQL - designing efficient data access patterns and optimising query performance for microservices workloads.
• OpenSearch Integration (Good to Have) Design and implement OpenSearch index mappings and search queries - building full-text search, faceted filtering, and relevance-tuned search experiences integrated with Spring Boot microservices.
• Develop OpenSearch aggregation pipelines for analytics, reporting, and real-time data summarisation use cases within the application platform.
• Integrate Spring Boot services with OpenSearch using Spring Data OpenSearch / Elasticsearch - managing index lifecycle, query DSL, and search result mapping.
• Optimise OpenSearch search performance - analysers, tokenisers, query caching, and shard management - for low-latency, high-relevance search at scale.
• Architecture & Delivery Contribute to microservices architecture design - applying DDD, CQRS, Event Sourcing, and Saga patterns to deliver loosely coupled, independently deployable services.
• Collaborate with Solution Architects, Business Analysts, Product Owners, and DevOps teams - translating complex requirements into well-architected, cloud-native technical solutions in Agile sprints.
• Troubleshoot and resolve complex production issues - performance bottlenecks, Kafka consumer lag, cloud service failures, and distributed system failures - under production pressure.
• Produce clear and concise technical documentation - API contracts, event schemas, architecture decision records, and deployment runbooks.
• Mentor and support junior Java developers - sharing knowledge across Spring Boot, Kafka, and Azure domains.
• What We're Looking For 6+ years of hands-on Java development experience with a strong track record of delivering enterprise microservices in production environments.
• Deep expertise in Spring Boot - Spring MVC, Spring Cloud, Spring Security, and Spring Kafka - with strong understanding of microservices design patterns.
• Proven Apache Kafka experience - producer / consumer development, Kafka Streams, topic design, error handling, and Schema Registry in production event-driven systems.
• Working knowledge of AWS cloud services - EC2, EKS, SQS, SNS, MSK, IAM - as an alternative or complementary cloud platform.
• Solid database skills - relational (Azure SQL / PostgreSQL / MySQL) and non-relational (Cosmos DB / MongoDB / Redis) - with strong SQL and ORM expertise.
• Experience with containerisation (Docker) and orchestration (Kubernetes / AKS / EKS) for cloud-native microservices deployment.
• Hands-on CI/CD experience - Azure DevOps, Jenkins, or GitLab CI - for automated build, test, and deployment pipelines.
• Strong understanding of event-driven architecture - messaging patterns, eventual consistency, saga orchestration, and distributed system design.
• Excellent communication and collaboration skills - able to engage effectively with architects, product owners, and cross-functional engineering teams.
• Experience with Azure Managed Kafka (Event Hub for Kafka) or AWS MSK for fully managed Kafka deployment.
• Familiarity with service mesh technologies - Istio or Linkerd - for AKS microservices traffic management and observability.
• Knowledge of CQRS and Event Sourcing patterns using Axon Framework or equivalent.
• Exposure to GraphQL API development alongside REST.
• Experience with Infrastructure-as-Code - Terraform or Azure Bicep - for cloud resource provisioning.
• Azure Developer Associate (AZ-204) or Azure Solutions Architect (AZ-305) certification.
• AWS Certified Developer Associate certification.
• Experience in Financial Services, FinTech, Retail, or other regulated industry environments.

Preferred qualifications and skills

• Strong Azure cloud experience (preferred) - AKS, App Services, Service Bus, Event Hub, Key Vault, Azure AD, Application Insights, and Azure DevOps.
• Nice to Have Hands-on OpenSearch / Elasticsearch experience - index design, full-text search, aggregations, and Spring Boot integration.

Employment details

• Location: Gurgaon [India]