#109 - Backend Software Engineer - Payments Platform

Liftedanupworkcompany; India; Remote; INR 1,800,000 - 3,000,000; Full time

Job summary

Liftedanupworkcompany is seeking a senior backend engineer to own production Java/Spring Boot services for a payments platform. You will add new payment methods, enhance reliability, and ensure deployment quality through CI/CD, tests, and observability.

The role requires extensive experience with microservices, GraphQL APIs, event-driven architectures, and production-grade data models with MySQL/Aurora. You will work in a complex distributed environment with strict quality gates and incident

Qualifications

• 5+ years backend engineering with Java and Spring Boot in production microservices.
• Ownership of production services in distributed systems.
• Experience building GraphQL APIs with Netflix DGS or Apollo Java/Kotlin client.
• Hands-on with AWS SQS, Kafka, or RabbitMQ in event-driven systems.
• Strong JPA/Hibernate and Spring Data JPA with MySQL/Aurora.
• JUnit 5 with Mockito; integration tests against live environments.
• Gradle multi-module builds; GitLab CI/CD; Datadog metrics/monitors.
• Code quality mindful of AI copilots, idempotency, and correctness.

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 tests.
• Improve observability, resilience, and support safe canary/production deployments gated by Datadog.

Skills

Java

Spring Boot

Microservices

GraphQL API

Netflix DGS

JPA/Hibernate

Spring Data JPA

MySQL/Aurora

Unit Testing

Mockito

JUnit 5

Gradle

GitLab CI/CD

Datadog

AI coding assistants

Event-driven architecture

Transactional design

REST/SOAP integrations

Tools

AWS SQS

Apache Kafka

RabbitMQ

DynamoDB

MongoDB

AWS SDK v2

MySQL

Job description

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 designing idempotent event handlers .
• 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
• GitLab CI/CD
• JaCoCo
• Datadog
• 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.