Senior Technical Consultant - Backend, AI Ops & Automation

Helius Technologies

Singapore

On-site

SGD 120,000 - 180,000

Full time

3 days ago
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Job summary

Helius Technologies is 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. You will translate requirements into working code, configurations and integrations, supporting design through production deployment.

You will work with Lead Consultants to implement solutions, run tests, and contribute to runbooks, documentation and knowledge transfer within banking teams.

Qualifications

  • 6–9 years of relevant experience in software development, system integration or technical consulting.
  • Bachelor's degree or higher in CS/Engineering/IT or related field is required.
  • Hands-on expertise in backend development with Java, Python or Node.js; RESTful APIs and microservices.
  • AI/ML knowledge including model deployment, monitoring and alerting.
  • DevOps and automation: CI/CD pipelines, IaC and automated testing.
  • Experience with cloud platforms (AWS, Azure or GCP) and containers.

Responsibilities

  • Analyze requirements and prepare functional designs, configuration documents and technical specifications.
  • Develop and optimise solutions for backend, AI Ops or feature flag management.
  • Build integrations with APIs, databases, Kafka and monitoring platforms.
  • Write clean, maintainable, well-documented code and runbooks.
  • Lead or support deployments, data validation and hypercare.

Skills

Backend development (Java, Python, or

Education

Bachelor's degree in Computer Science, Engineering, IT or related

Tools

Grafana
Prometheus
Splunk
ELK
LaunchDarkly / Split.io

Job description

Senior Technical Consultant - Backend, AI Ops & Automation

Location: Changi

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 from detailed design through production deployment and hypercare.

Key Responsibilities
Solution Design and 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.
  • Build integrations with APIs, backend services, databases, Kafka and monitoring platforms.
  • Write clean, maintainable and well-documented code.
  • Configure capabilities such as anomaly detection, automated recovery workflows and code analysis tools.
Testing and Quality Assurance
  • Perform functional and integration testing and support UAT.
  • Conduct code reviews and maintain coding standards.
  • Troubleshoot defects and performance issues across application layers.
  • Validate solution behaviour in test and production environments.
  • Document test cases, results and lessons learned.
Deployment and Production Support
  • Lead or support deployments, cutover planning, data validation and defect resolution.
  • Provide post-go-live support and hypercare.
  • Monitor performance and proactively resolve operational issues.
  • Prepare runbooks and operational documentation for banking teams.
Collaboration and 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 assets 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 areas:Backend development: Java, Python or Node.js; RESTful APIs and microservices.
  • AI/ML: ML frameworks, model deployment, monitoring and alerting.
  • DevOps and automation: CI/CD pipelines, infrastructure as code and automated testing.
  • Experience with AWS, Azure or GCP , alongside containerisation technologies.
  • Proficiency in SQL/NoSQL databases, Kafka and system integration patterns.
  • Strong analytical, troubleshooting and problem-solving skills.
  • Good communication and stakeholder collaboration skills.
  • Ability to deliver quality work within tight project timelines.
Preferred Experience
  • Banking or financial-services applications.
  • Observability tools such as Grafana, Prometheus, Splunk or ELK.
  • AI/ML platforms and tools.
  • Feature flag platforms such as LaunchDarkly or Split.io.
  • Security best practices and compliance requirements.
  • Agile/Scrum delivery.
Key Deliverables
  • Production-ready code, configurations and integrations.
  • Test plans, test cases and execution results.
  • Technical designs, API documentation and operational runbooks.
  • Training materials and knowledge transfer.

Registration No.: R25156061

EA No.: 11C3373

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