#136215 - Senior Backend Software Engineer - Java/Spring Boot

Posted Yesterday
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Hiring Remotely in Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office or Remote
Senior level
Enterprise Web • HR Tech • Professional Services • Software
The Role
Build and maintain production Java and Spring Boot microservices for correctness-critical financial billing systems. Design event-driven workflows, transactional consistency, migrations, integrations, testing, CI/CD pipelines, observability, and deployment safeguards across distributed services and multiple datastores. The role requires GraphQL, messaging, JPA, MySQL or Aurora, Datadog, and production microservices experience, with billing or payments experience preferred.
Summary Generated by Built In
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

 

- 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.

Qualifications

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.

Additional Information

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.

Skills Required

  • 5+ years of hands-on backend engineering experience with Java and Spring Boot 3
  • Experience owning production microservices in a distributed-systems environment
  • GraphQL experience using Netflix DGS or Apollo Java/Kotlin client
  • Production experience with AWS SQS, Apache Kafka, or RabbitMQ
  • Experience designing idempotent event handlers
  • Strong JPA/Hibernate and Spring Data JPA experience with MySQL or Aurora
  • Transactional-design and optimistic-locking experience
  • Experience writing JPA entities and managing production database schema migrations
  • Proficiency with JUnit 5 and Mockito
  • 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 CI/CD deployment quality gates
  • Experience integrating with an external REST- or SDK-based third-party platform
  • Responsible use of AI coding assistants with independent review and validation
  • Enterprise experience
  • Prior billing or payments experience
  • DynamoDB experience using AWS SDK v2
  • MongoDB experience using Spring Data
  • Experience working across multiple datastores in one architecture
  • Netflix DGS experience
  • Experience integrating with Zuora or a comparable billing platform
  • Based in an eligible APAC location and available for full India Standard Time coverage
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The Company
283 Employees
Year Founded: 2025

What We Do

Lifted, an Upwork Company, is a B2B SaaS platform that helps enterprise organizations source, contract, manage, and pay contingent talent globally and compliantly. It supports multiple engagement models, including independent contractors, staff augmentation, and employer-of-record, while integrating with MSPs and VMSs to provide centralized visibility, spend control, and audit-ready compliance, delivering a white-labeled talent experience for hiring managers and contingent workforce programs.

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