Senior Python Software Engineer (Platform Services)

The client is a Singapore-based data consultancy seeking a hands-on Senior Infrastructure Engineer to deploy and operate the ingestion and distributed-storage layer of a large-scale on-premise data platform.

This is an initial six-month contract, with the potential for extension or conversion to a permanent position based on business requirements and individual performance.

·   Design and build production-grade platform services, APIs and reusable Python libraries.

·   Develop authentication and authorisation integrations using OAuth 2.0, OpenID Connect and role-based access control.

·   Implement secure identity propagation across distributed platform components and services.

·   Build and maintain Model Context Protocol endpoints and related service integrations.

·   Containerise services using Docker and deploy and operate them on Kubernetes.

·   Integrate platform services with data, infrastructure, observability and security components.

·   Write automated tests, technical documentation and maintainable deployment procedures.

·   Troubleshoot service reliability, security, integration and production-performance issues.

·   Work directly with technical stakeholders and contribute as a senior individual contributor.

Requirements

·   Minimum six years of hands-on software, backend or platform-engineering experience.

·   Advanced Python experience, including building custom libraries, packages, SDKs or reusable platform components.

·   Proven experience developing production APIs, backend services or microservices.

·   Strong hands-on experience with OAuth 2.0, OpenID Connect, JWT, RBAC and identity propagation.

·   Production experience with both Docker and Kubernetes is mandatory.

·   Strong software-engineering practices covering testing, version control, CI/CD, security and documentation.

·   Experience deploying services in on-premise or hybrid environments.

·   Ability to work independently, solve ambiguous technical problems and communicate effectively with client stakeholders.

·   Willingness to accept a six-to-twelve-month contract and attend client locations when required.

·   Experience building or integrating Model Context Protocol endpoints.

·   Exposure to platform observability, policy enforcement and secure service-to-service communication.

·   Experience delivering platform products within regulated or security-sensitive environments.

This is a product-engineering role focused on Python platform services. It is not primarily an ETL, business-intelligence, analytics or data-pipeline position.

Submit your application by emailing your updated resume in MS Word format to:

Wills Heng Wei He
EA Personnel Registration No. R1549842
Email: [email protected]

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Skills

Kubernetes, API Management, OAuth, reliability monitoring, Technical Deployment, Model Context Protocol (MCP), Identity Management Systems, Platform as a Service, Identity & Access Management, on-demand services, Software Requirements, Version Control Systems, Python, Rest Apis, Microservice, Docker Container, RBAC, SDK