About this role
Job Description
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
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Develop and maintain production Java and Spring Boot services.
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Deliver features, bug fixes, and reliability improvements across distributed backend systems.
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Design reliable event-driven workflows with safe retry and idempotency behavior.
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Solve transactional-consistency, concurrency, and notification-reliability problems at scale.
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Design and execute safe entity and database-schema migrations.
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Integrate backend services with external REST- or SDK-based platforms.
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Maintain accurate and compliant billing-account state across relational and non-relational datastores.
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Write unit and integration tests that meet established coverage and quality gates.
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Deliver production-ready changes through GitLab CI/CD pipelines.
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Improve observability, resilience, and deployment safety through Datadog monitors and canary practices.
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Use AI coding assistants responsibly while independently validating code quality and correctness.
Qualifications
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Must-Have Skills
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- 5+ years of hands-on backend engineering experience with Java and Spring Boot 3.
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- Demonstrated ownership of production microservices in a distributed-systems environment.
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- GraphQL experience through either building APIs with Netflix DGS or consuming them with the Apollo Java or Kotlin client.
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- Hands-on production experience with at least one of AWS SQS, Apache Kafka, or RabbitMQ.
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- Demonstrated experience designing idempotent event handlers.
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- Strong JPA/Hibernate and Spring Data JPA experience with MySQL or Aurora.
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- Hands-on transactional-design and optimistic-locking experience.
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- Experience writing JPA entities and managing schema migrations against a production MySQL or Aurora database.
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- Proficiency with JUnit 5 and Mockito for unit testing.
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- Experience writing integration tests against live environments.
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- Experience with Gradle multi-module builds.
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- Experience with GitLab CI/CD pipelines.
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- Experience using Datadog metrics and monitors.
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- Experience using Datadog monitors as deployment quality gates in a CI/CD pipeline.
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- Experience integrating with an external REST- or SDK-based third-party platform.
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- Responsible use of AI coding assistants such as GitHub Copilot or Claude, with independent review and validation of output.
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Nice-to-Have Skills
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- Prior experience in Billing or Payments.
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- Experience with DynamoDB using AWS SDK v2.
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- Experience with MongoDB using Spring Data.
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- Experience working across multiple datastores in one architecture.
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- Experience with Netflix DGS.
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- Experience integrating with Zuora or a comparable billing platform.
Additional Information
Required Tools & Platforms
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Java and Spring Boot 3.
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GraphQL with Netflix DGS or Apollo Java/Kotlin client.
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AWS SQS, Apache Kafka, or RabbitMQ.
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JPA/Hibernate and Spring Data JPA.
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MySQL or Aurora.
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JUnit 5, Mockito, and integration-testing tooling.
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Gradle multi-module builds.
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GitLab CI/CD.
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Datadog metrics and monitors.
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REST APIs or third-party SDKs.
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GitHub Copilot, Claude, or a comparable AI coding assistant.
Location, Time & Engagement
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Candidates must be based in an eligible APAC location.
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Full India Standard Time coverage is required.
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This is a contract engagement at 40 hours per week.
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The anticipated engagement runs through March 31, 2027.
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This is not currently a contract-to-hire opportunity.