We are seeking a hands-on Senior Backend Software Engineer to build and evolve correctness-critical financial services. This role focuses on production Java and Spring Boot 3 microservices that keep billing-account data accurate, compliant, reliable, and synchronized across distributed services, multiple datastores, and external platforms.

Enterprise experience strongly preferred.Key Responsibilities

• Develop and maintain production Java and Spring Boot services.
• Deliver features, bug fixes, and reliability improvements across distributed backend systems.
• Design reliable event-driven workflows with safe retry and idempotency behavior.
• Solve transactional-consistency, concurrency, and notification-reliability problems at scale.
• Design and execute safe entity and database-schema migrations.
• Integrate backend services with external REST- or SDK-based platforms.
• Maintain accurate and compliant billing-account state across relational and non-relational datastores.
• Write unit and integration tests that meet established coverage and quality gates.
• Deliver production-ready changes through GitLab CI/CD pipelines.
• Improve observability, resilience, and deployment safety through Datadog monitors and canary practices.
• Use AI coding assistants responsibly while independently validating code quality and correctness.

Must-Have Skills

• 5+ years of hands-on backend engineering experience with Java and Spring Boot 3.
• Demonstrated ownership of production microservices in a distributed-systems environment.
• GraphQL experience through either building APIs with Netflix DGS or consuming them with the Apollo Java or Kotlin client.
• Hands-on production experience with at least one of AWS SQS, Apache Kafka, or RabbitMQ.
• Demonstrated experience designing idempotent event handlers.
• Strong JPA/Hibernate and Spring Data JPA experience with MySQL or Aurora.
• Hands-on transactional-design and optimistic-locking experience.
• Experience writing JPA entities and managing schema migrations against a production MySQL or Aurora database.
• Proficiency with JUnit 5 and Mockito for unit testing.
• Experience writing integration tests against live environments.
• Experience with Gradle multi-module builds.
• Experience with GitLab CI/CD pipelines.
• Experience using Datadog metrics and monitors.
• Experience using Datadog monitors as deployment quality gates in a CI/CD pipeline.
• Experience integrating with an external REST- or SDK-based third-party platform.
• Responsible use of AI coding assistants such as GitHub Copilot or Claude, with independent review and validation of output.

Nice-to-Have Skills

• Prior experience in Billing or Payments.
• Experience with DynamoDB using AWS SDK v2.
• Experience with MongoDB using Spring Data.
• Experience working across multiple datastores in one architecture.
• Experience with Netflix DGS.
• Experience integrating with Zuora or a comparable billing platform.

Required Tools & Platforms

• Java and Spring Boot 3.
• GraphQL with Netflix DGS or Apollo Java/Kotlin client.
• AWS SQS, Apache Kafka, or RabbitMQ.
• JPA/Hibernate and Spring Data JPA.
• MySQL or Aurora.
• JUnit 5, Mockito, and integration-testing tooling.
• Gradle multi-module builds.
• GitLab CI/CD.
• Datadog metrics and monitors.
• REST APIs or third-party SDKs.
• GitHub Copilot, Claude, or a comparable AI coding assistant.

Location, Time & Engagement

• Candidates must be based in an eligible APAC location.
• Full India Standard Time coverage is required.
• This is a contract engagement at 40 hours per week.
• The anticipated engagement runs through March 31, 2027.
• This is not currently a contract-to-hire opportunity.