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AgileEngine

Senior Java Engineer ID93313

Sorry, this job was removed at 01:07 a.m. (IST) on Friday, Oct 23, 2026
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In-Office
Pune, Maharashtra
Senior level
In-Office
Pune, Maharashtra
Senior level

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Develop and maintain Java and Spring Boot microservices for a distributed payments platform. Build payment methods, event-driven workflows, and integrations with external platforms. Improve reliability through observability, resilience patterns, testing, and safe deployments gated by Datadog monitors. Manage transactional consistency, idempotency, JPA entities, schema migrations, and production CI/CD pipelines using GitLab.
The summary above was generated by AI
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 PROCESS
1. 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.

• Experience with financial-grade backend systems where correctness, idempotency, and consistency are non-negotiable.

• Ability to reason clearly about transactional boundaries across external systems (e.g., a third-party billing platform plus a local metadata store).

• Have built or maintained a production Spring Boot service that consumes 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.

• Upper-intermediate English level.

NICE TO HAVES
• 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.

WHAT YOU WILL DO
• Develop and maintain backend Java/Spring Boot services across the Payments platform.

• Add new payment methods to the platform's existing capabilities.

• Contribute to feature development, bug fixes, and reliability improvements across these services.

• Deliver production-ready feature work and bug fixes through GitLab CI, with unit and integration test coverage that meets Jacoco gates.

• Strengthen system reliability through improved observability, resilience patterns, and safe canary and production deploys gated by Datadog monitors.

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