Senior Backend Developer

fpt asia pacific pte. ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

fpt asia pacific pte. ltd. seeks an experienced Senior Backend Engineer to design and build high-performance, scalable backend services using Java, Spring Boot, Kafka, and a microservices architecture.

The role emphasizes distributed systems fundamentals, event-driven design, REST APIs, and robust testing. You will work with PostgreSQL/Oracle/MongoDB/Redis, containers, and CI/CD in a regulated enterprise environment in Singapore.

Qualifications

• 6–10 years of backend engineering experience in large-scale enterprise systems.
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Responsibilities

• Design, develop, and maintain backend services using Java 11/17, Spring Boot, Spring Cloud, and modern JVM patterns.
• Build microservices following clean architecture, domain-driven design (DDD), and asynchronous design principles.
• Implement RESTful APIs, event-driven components, and backend modules that meet business and technical requirements.
• Optimize backend systems for performance, scalability, fault tolerance, and low latency.
• Design and implement event-driven flows using Kafka (producers, consumers, partitions, schema management).
• Ensure message integrity, idempotency, retries, dead-letter queue strategies, and exactly-once/at-least-once processing where applicable.
• Build streaming and asynchronous integrations to support real-time and near real-time use cases.
• Work with relational and NoSQL data stores (PostgreSQL, Oracle, MongoDB, Redis).
• Design data models, queries, and schemas optimized for performance and maintainability.
• Integrate backend services with internal/external systems using REST, events, or batch interfaces.
• Implement robust automated tests (unit, integration, contract, performance) using JUnit, Mockito, Test containers, etc.
• Ensure observability through logging, metrics, and distributed tracing (OpenTelemetry, Prometheus, Grafana).
• Conduct code reviews, improve code quality, and enforce engineering best practices.
• Work closely with DevOps to build CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, or Azure DevOps).
• Deploy and troubleshoot services on container orchestration platforms (Kubernetes/OpenShift).
• Contribute to infrastructure-as-code and automation initiatives.
• Mentor junior engineers and contribute to knowledge-sharing and technical excellence across the team.
• Collaborate with Product, QA, Architecture, and other engineering teams to deliver high-quality solutions.
• Participate in solution design discussions, architecture reviews, and technical decision-making.

Skills

Backend engineering

Distributed systems

Java

Spring Boot

Kafka

Microservices

API design

Docker

Kubernetes

CI/CD

Observability

Education

Bachelor's/Master's in CS/Engineering

Tools

PostgreSQL

Oracle

MySQL

MongoDB

Redis

Jenkins

GitLab CI

GitHub Actions

Azure DevOps

OpenShift

Job description

Role Overview

We are seeking an experienced Senior Backend Engineer to design and build high‑performance, scalable, and resilient backend services using Java, Spring Boot, Kafka, and Microservices architecture. The ideal candidate has strong engineering fundamentals, deep understanding of distributed systems, and hands‑on experience delivering enterprise applications in fast‑paced, highly regulated environments.

Key Responsibilities

• Design, develop, and maintain backend services using Java 11/17, Spring Boot, Spring Cloud, and modern JVM patterns.
• Build microservices following clean architecture, domain-driven design (DDD), and asynchronous design principles.
• Implement RESTful APIs, event‑driven components, and backend modules that meet business and technical requirements.
• Optimize backend systems for performance, scalability, fault tolerance, and low latency.
• Design and implement event‑driven flows using Kafka (producers, consumers, partitions, schema management).
• Ensure message integrity, idempotency, retries, dead‑letter queue strategies, and exactly‑once/at‑least‑once processing where applicable.
• Build streaming and asynchronous integrations to support real‑time and near real‑time use cases.
• Work with relational and NoSQL data stores (PostgreSQL, Oracle, MongoDB, Redis).
• Design data models, queries, and schemas optimized for performance and maintainability.
• Integrate backend services with internal/external systems using REST, events, or batch interfaces.
• Implement robust automated tests (unit, integration, contract, performance) using JUnit, Mockito, Test containers, etc.
• Ensure observability through logging, metrics, and distributed tracing (OpenTelemetry, Prometheus, Grafana).
• Conduct code reviews, improve code quality, and enforce engineering best practices.
• Work closely with DevOps to build CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, or Azure DevOps).
• Deploy and troubleshoot services on container orchestration platforms (Kubernetes/OpenShift).
• Contribute to infrastructure‑as‑code and automation initiatives.
• Mentor junior engineers and contribute to knowledge‑sharing and technical excellence across the team.
• Collaborate with Product, QA, Architecture, and other engineering teams to deliver high‑quality solutions.
• Participate in solution design discussions, architecture reviews, and technical decision‑making.

Qualifications

• 6–10 years of backend engineering experience, preferably in large‑scale enterprise systems.
• Bachelor's/Master's degree in Computer Science, Engineering, or related field.

Strong proficiency in:

• Java 11/17, Spring Boot, Spring Cloud
• Kafka (event‑driven systems, streaming patterns)
• Microservices architecture, API design, distributed systems
• RDBMS (PostgreSQL, Oracle, MySQL)
• NoSQL stores (MongoDB, Redis)
• Docker, Kubernetes/OpenShift
• CI/CD pipelines and cloud native delivery
  

Nice to Have

• Experience in banking/payments or other mission‑critical environments.

• Familiarity with performance tuning (JVM, GC, load testing tools such as JMeter/Gatling).
• Exposure to messaging systems (RabbitMQ, ActiveMQ) or additional streaming platforms.
• Knowledge of security best practices (OAuth2/OIDC, mTLS, secrets management).