Backend Jobs in Singapore
There are 1,223 open Backend jobs in Singapore on freehire right now. 311 of them were posted recently. The skills employers ask for most often are java, api and cloud.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| SGD | year | SGD 105,000 | SGD 147,500 | SGD 193,325 | 12 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- java 45%
- api 39%
- cloud 33%
- python 31%
- ai 26%
- microservices 25%
- distributed-systems 22%
- ci-cd 21%
How the work is done
- Remote 30 · 2%
- Hybrid 23 · 2%
- Onsite 23 · 2%
Visa sponsorship offered in 68% of the 120 postings that state a position on it.
Seniority
- Senior 410
- Intern 76
- Lead 57
- Staff 31
- Junior 16
- Principal 9
Who is hiring
- 1000+ employees 192
- 501-1000 employees 33
- 51-200 employees 17
- 11-50 employees 12
- 201-500 employees 3
- 1-10 employees 1
Senior Java Backend Engineer (Oracle & PL/SQL）
Senior Java backend engineer designs and maintains enterprise systems using Java, Spring, and Oracle PL/SQL, focusing on stored procedures, performance tuning, and REST APIs.
Senior Backend Engineer - BFSI Microservices Lead
Designs and builds backend microservices for financial platforms in private equity and wealth management using Python and Java.
Senior Java Backend Engineer - Microservices & Cloud
Designs, builds, and maintains scalable Java microservices and APIs deployed on cloud/container platforms while ensuring high code quality and security.
Senior Java Backend Engineer - Crypto KYC, Flexible Hours
Build and maintain Java-based backend systems for Binance’s KYC infrastructure, focusing on crypto-related products and performance tuning in a fast-paced environment.
Senior Java Backend Engineer - Cloud & Microservices
Designs and builds scalable Java 17+ backend services with Spring Boot 3.x, deploys them on AWS, and maintains CI/CD pipelines for cloud-native applications.
Senior Backend Engineer - Node.js & TypeScript
Designs and builds scalable backend services in Node.js and TypeScript, focusing on APIs and cloud platforms for government technology projects.
Backend Engineer: ML Platform & Cloud-Native Inference
Build cloud-native ML inference pipelines for a multimodal AI platform, focusing on low-latency, high-throughput APIs for text and multimodal tasks.
Senior Backend Engineer: Scale an AI Platform in Singapore
Own and scale a backend platform for an AI product using Node.js, Python, MongoDB, and AWS, ensuring high availability and performance.
Senior Backend Engineer - Low-Latency Trading
Design and build low-latency backend services in Java/Spring Boot for a new trading platform, optimizing performance and collaborating with cross-functional teams.
Senior Backend Engineer (Remote)
Build and scale backend systems for a 3D virtual makerspace used by K–12 students, integrating LLMs to enhance learning and ensure real-time collaboration on low-end devices.
Senior Backend Engineer — Java & Spring Boot, Scalable Systems
Build and maintain high-performance backend services for eCommerce and financial systems using Java, Spring Boot, and microservices.
Senior Backend Engineer - Java / Spring Boot / Microservices
Senior backend engineer building trading and broking systems in Java/Spring Boot, deploying microservices on AWS with CI/CD and automated testing.
Senior Backend Engineer - Scalable, Low-Latency Architectures
Designs and builds scalable, low-latency backend systems in Go/Rust/Java/C++ for a crypto data platform, optimizing throughput and reliability.
Senior Backend Engineer – SaaS Billing & Payments Platform
Builds and owns backend systems for SaaS billing, subscriptions, and payments, integrating Stripe and handling metering, invoicing, and entitlements.
Senior Java Backend Engineer | Spring Microservices & REST
Builds and optimizes Java microservices with Spring Boot to power scalable backend systems for a global fashion brand.
Senior Backend Engineer - Large-Scale Data & AI Systems
Design and build offline computing systems for TikTok’s large-scale recommendation infrastructure using Java/Python and big-data tools like Flink and Spark.