Design, develop, and maintain scalable Java backend applications and secure REST APIs using Spring Boot, microservices, and event-driven architecture. Build cloud-native data solutions, implement automated testing and CI/CD, manage Kubernetes deployments and production releases, and provide on-call support. Lead incident resolution, root cause analysis, observability, performance optimization, code reviews, mentoring, documentation, and continuous improvement.
About Us
Billigence Asia is a specialist in the delivery of market leading Business Intelligence solutions. Headquartered in Sydney, Australia and with offices in Singapore, Prague, London, Frankfurt, Warsaw, Bangalore and New Zealand our passion is data and our focus is the delivery of end-to-end solutions via a talented team of skilled professionals.
We are partners with leading edge software platforms including Tableau, Alteryx, Collibra, Snowflake, GCP and Matillion.
About the role:
We are seeking a Senior Software Engineer with strong Java backend development experience.
- Initial 6 month contract with strong potential to extend.
- Must be currently located in Singapore.
Key Responsibilities
- Design, develop, and maintain scalable backend applications using Java (11/17+), Spring Boot, and Microservices architecture.
- Develop secure, high-performance REST APIs and integrations with internal and external systems.
- Design and implement event-driven solutions using Kafka, RabbitMQ, or similar messaging platforms.
- Build and optimize data solutions using SQL and NoSQL databases (PostgreSQL, Oracle, MongoDB, Redis, etc.).
- Collaborate with architects and cross-functional teams to deliver resilient, cloud-native applications.
- Implement automated testing, code quality, and CI/CD practices using tools such as JUnit, Mockito, Jenkins, GitHub Actions, or GitLab CI.
- Deploy and manage applications on Kubernetes, OpenShift, Docker, and public cloud platforms (AWS/Azure/GCP).
- Own production releases, deployment planning, validation, rollback strategies, and change management activities.
- Participate in on-call rotations and provide 24x7 support for critical production systems.
- Lead troubleshooting and resolution of production incidents, including Sev1/Sev2 incidents, ensuring SLA compliance.
- Perform root cause analysis (RCA), post-incident reviews, and drive preventive measures to improve system reliability.
- Monitor application health and performance using observability tools such as Splunk, Grafana, Prometheus, Dynatrace, ELK, or AppDynamics.
- Optimize application scalability, performance, availability, and security across distributed environments.
- Conduct code reviews, mentor junior developers, and promote engineering best practices.
- Contribute to technical documentation, operational runbooks, architecture reviews, and continuous improvement initiatives.
Required Skills
- 8+ years of Java backend development experience.
- Strong expertise in Java, Spring Boot, Spring Data JPA, Hibernate, and Microservices.
- Experience with Kafka/RabbitMQ, REST APIs, Docker, Kubernetes/OpenShift.
- Strong knowledge of SQL/NoSQL databases and distributed systems.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP).
- Experience managing production deployments, incident handling, and on-call support.
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Own and prioritize the product backlog for Industrial & Physical AI: translate stakeholder needs into requirements, run hybrid agile/waterfall delivery, partner with engineering, manage vendors, lead UAT/change management and scale pilots across global fab construction and operations.
Top Skills:
Ai/Ml PlatformsAmr/Agv PlatformsBim/VdcComputer VisionCosmosData PlatformsEdge IntelligenceGenaiIsaac LabJetson ThorNvidia Isaac SimOmniverseOpenusdPrimavera P6RoboticsRos 2
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The Global Facilities Regional Engineering Electrical Engineer leads projects on electrical systems, ensuring standards, cost control, and sustainability initiatives at manufacturing sites.
Top Skills:
Electrical EngineeringEtapSkm
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develop machine learning models and agentic AI prototypes for semiconductor yield, reliability, testing, and manufacturing analytics. Prepare and transform high-volume engineering data, build feature-engineering pipelines, evaluate models, and explore workflow automation using engineering and enterprise tools. Deliver technical documentation, demonstrations, and presentations while collaborating with Product Engineers and AI mentors.
Top Skills:
Amazon Web ServicesConfluenceJIRALangchainAzureMicrosoft Copilot StudioNumpyPandasPythonPyTorchScikit-LearnSharepointTensorFlow
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
