Technical Consultant - Backend, AI Ops & Automation
Location: Changi, Singapore
About the Role
We are seeking a hands‑on Senior Technical Consultant to design, develop, integrate and test banking technology solutions across error handling, AI Ops and feature flag management .
Working closely with Lead Consultants, you will translate requirements into working code, configurations and integrations, supporting delivery through deployment and post‑go‑live support.
Key Responsibilities
Solution Design & Development
- Analyse requirements and prepare functional designs, configuration documents and technical specifications.
- Develop and optimise solutions for error handling, AI Ops or feature flag management.
- Integrate APIs, backend services, databases, Kafka and monitoring platforms.
- Write clean, maintainable and well‑documented code.
- Implement capabilities such as anomaly detection, automated recovery workflows and code analysis.
Testing & Quality Assurance
- Conduct functional and integration testing and support UAT.
- Perform code reviews and maintain coding standards.
- Investigate defects and performance issues across application layers.
- Validate solution behaviour in test and production environments.
- Document test cases, execution results and lessons learned.
Deployment & Support
- Lead or support deployments, cutover planning, data validation and defect resolution.
- Provide post‑go‑live support and hypercare.
- Monitor performance and proactively address operational issues.
- Prepare runbooks and operational documentation.
Collaboration & Knowledge Transfer
- Work with business users, project managers and technical teams throughout delivery.
- Prepare system demonstrations, training materials and end‑user training.
- Share technical knowledge and contribute to reusable components and delivery improvements.
Requirements
- Bachelor's degree in Computer Science, Engineering, IT or a related discipline.
- 6-9 years of relevant experience in software development, system integration or technical consulting.
- Strong hands‑on expertise in at least one of the following: Backend development: Java, Python or Node.js, REST APIs and microservices. AI/ML: Machine learning frameworks, model deployment, monitoring and alerting. DevOps/automation: CI/CD pipelines, infrastructure as code and automated testing.
- Experience with AWS, Azure or GCP and containerisation technologies.
- Proficiency in databases, including SQL/NoSQL , messaging systems such as Kafka , and integration patterns.
- Strong analytical, troubleshooting and problem‑solving skills.
- Good communication and stakeholder‑collaboration skills.
- Ability to deliver quality work within demanding timelines.
Added Advantage
- Banking or financial‑services application experience.
- Familiarity with Grafana, Prometheus, Splunk or ELK .
- Knowledge of AI/ML platforms and tools.
- Experience with LaunchDarkly, Split.io or other feature flag platforms .
- Understanding of security best practices and compliance requirements.
- Experience working in Agile/Scrum environments.
Registration No.: R25156061
EA No.: 11C3373