Senior Java Engineer ID93313
Senior backend engineer building and maintaining Java/Spring Boot microservices for a distributed payments platform: adding payment methods, event-driven integrations (SQS/Kafka/RabbitMQ), Aurora MySQL persistence via JPA/Hibernate, GraphQL via the Apollo client, and GitLab CI/CD with Datadog-based observability and deploy gates.
- Compensation
- Not disclosed
- Location
- Hyderabad, India
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 4+ years of backend engineering with Java and Spring Boot (Boot 3 preferred) in production microservices
- Demonstrated ownership of production services in a distributed systems environment
- Experience with GraphQL — Apollo GraphQL client experience required (building with Netflix DGS or consuming via Apollo Java/Kotlin client)
- Hands-on experience with AWS SQS, Apache Kafka, or RabbitMQ in event-driven, distributed systems
- Strong JPA/Hibernate experience with MySQL/Aurora (Spring Data JPA), including transactional design and optimistic locking
- Writing JUnit 5 unit tests with Mockito and integration tests against live environments
- Proficiency with Gradle multi-module builds
- Experience with GitLab CI/CD pipelines and Datadog (metrics and monitors)
- Comfortable using AI coding assistants (e.g., GitHub Copilot, Claude) responsibly
- Experience with financial-grade backend systems where correctness, idempotency, and consistency are non-negotiable
- Ability to reason about transactional boundaries across external systems
- Have built or maintained a production Spring Boot service consuming events from SQS, Kafka, or RabbitMQ
- Have designed idempotent event handlers for workflows
- Have written JPA entities and managed schema migrations against a production MySQL/Aurora database
- Have integrated with an external REST- or SDK-based third-party platform
- Have set up or worked with Datadog monitors as deploy quality gates in a CI/CD pipeline
Nice to have
- Prior experience in the Billing or Payments domain
- Experience with DynamoDB (AWS SDK v2) and/or MongoDB (Spring Data) in a multi-store architecture
- Experience with Netflix DGS
Full description
We are looking for a Senior Java Engineer to build and maintain Java and Spring Boot services for a high-stakes, distributed payments platform.
The mandatory requirements are 4+ years of backend engineering with Java and Spring Boot, Apollo GraphQL client and Aurora MySQL with JPA/Hibernate experience, event-driven systems, and experience with financial-grade systems.
RECRUITMENT PROCESS1. Application — Share a few details about your experience and background.
2. Coding Challenge — If applicable, complete it in the coding language you are most comfortable with.
3. Video Interview — Record a short video introduction in English.
4. Technical Interview or Hiring Manager Interview — Discuss your experience and fit for the role.
5. Offer — If it’s a match, you’ll receive an offer.
WHAT YOU’LL GAIN
- Remote work — Work from where you feel most productive.
- Local presence in India — Work in a structured and compliant environment aligned with Indian regulations.
- Competitive compensation in INR — Receive compensation in INR, plus support for learning, education, and wellness.
- Exciting projects — Work with modern technologies for global clients and fast-growing companies.
MUST HAVES
- 4+ years of backend engineering with Java and Spring Boot (Boot 3 preferred) in production microservices.
- Demonstrated ownership of production services in a distributed systems environment.
- Experience with GraphQL — either building APIs with Netflix DGS or consuming them via the Apollo Java/Kotlin client (Apollo GraphQL client experience required).
- Hands-on experience with AWS SQS, Apache Kafka, or RabbitMQ in event-driven, distributed systems.
- Strong JPA/Hibernate experience with MySQL/Aurora (Spring Data JPA), including transactional design and optimistic locking.
- Experience writing JUnit 5 unit tests with Mockito and integration tests against live environments.
- Proficiency with Gradle multi-module builds.
- Experience with GitLab CI/CD pipelines and Datadog (metrics and monitors).
- Comfortable using AI coding assistants (e.g., GitHub Copilot, Claude) responsibly to accelerate development while maintaining code quality and correctness.