#109 - Backend Software Engineer - Payments Platform

SmartRecruiters, Inc.; Hyderabad; On-site; INR 4,500,000 - 6,000,000; Part time

Job summary

SmartRecruiters, Inc. is seeking a hands-on Backend Software Engineer to build and maintain payment services in a distributed financial systems environment. You will add new payment capabilities, deliver features and bug fixes, and improve the reliability of production Java and Spring Boot services.

Enterprise experience is strongly preferred. The role emphasizes GitLab CI/CD, Datadog monitoring, and scalable, transactional backend design within an APAC-friendly setup.

Qualifications

• 5+ years backend engineering with Java/Spring Boot in production.
• Experience with distributed systems and ownership of production services.

Responsibilities

• Develop and maintain production Java and Spring Boot services for a payments platform.
• Add new payment methods and deliver features, bug fixes, and reliability improvements.
• Deliver production-ready changes through GitLab CI, with unit and integration test coverage that meets JaCoCo quality gates.
• Improve observability and resilience, and support safe canary and production deployments gated by Datadog monitors.

Skills

Java

Spring Boot

Distributed systems

JUnit 5

Mockito

GraphQL APIs

Netflix DGS

Apollo Java/Kotlin client

Kafka/SQS/RabbitMQ

JPA/Hibernate

Gradle

GitLab CI/CD

Datadog monitoring

AI coding assistants

Financial-grade backend

External integrations

Tools

GitLab CI/CD

Datadog

JaCoCo

Apollo Java/Kotlin client

Netflix DGS

GitHub Copilot

Claude

Job description

#109 - Backend Software Engineer - Payments Platform

Contract

We are seeking a hands-on Backend Software Engineer to build and maintain payment services in a distributed financial systems environment. You will add new payment capabilities, deliver features and bug fixes, and improve the reliability of production Java and Spring Boot services.

Enterprise experience is strongly preferred.

Key Responsibilities

• Develop and maintain production Java and Spring Boot services for a payments platform.
• Add new payment methods and deliver features, bug fixes, and reliability improvements.
• Deliver production-ready changes through GitLab CI, with unit and integration test coverage that meets JaCoCo quality gates.
• Improve observability and resilience, and support safe canary and production deployments gated by Datadog monitors.

Must-Have Skills

• 5+ years of backend engineering experience with Java and Spring Boot in production microservices.
• Mid-to-senior-level experience with demonstrated ownership of production services in a distributed systems environment.
• Experience building GraphQL APIs with Netflix DGS or consuming APIs through the Apollo Java/Kotlin client. Apollo GraphQL client experience is required.
• Hands‑on experience with AWS SQS, Apache Kafka, or RabbitMQ in event‑driven distributed systems, including building or maintaining a production Spring Boot service that consumes events.
• Strong JPA/Hibernate and Spring Data JPA experience with MySQL/Aurora, including:
  • Transactional design
  • Optimistic locking
  • Writing JPA entities
  • Managing production schema migrations
• 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 and Datadog metrics and monitors, including using Datadog monitors as deployment quality gates.
• Responsible use of AI coding assistants, such as GitHub Copilot or Claude, while maintaining code quality and correctness.
• Experience with financial‑grade backend systems requiring correctness, idempotency, and consistency.
• Ability to reason clearly about transactional boundaries across external systems, such as a third‑party billing platform and a local metadata store.
• Experience integrating external REST- or SDK‑based third‑party platforms.

Nice-to-Have Skills

• Spring Boot 3 experience.
• Prior billing or payments domain experience.
• DynamoDB with AWS SDK v2 and/or MongoDB with Spring Data in a multi‑store architecture.
• Netflix DGS experience.

Required Tools & Platforms

• Java and Spring Boot
• GraphQL and the Apollo Java/Kotlin client
• AWS SQS, Apache Kafka, or RabbitMQ
• JPA/Hibernate, Spring Data JPA, and MySQL/Aurora
• JUnit 5 and Mockito
• Gradle
• JaCoCo
• AI coding assistants used responsibly, such as GitHub Copilot or Claude

Location, Time & Engagement

• Candidates must be based in an eligible APAC location.
• Working‑hour coverage aligned with India Standard Time (IST) is required.