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.

· 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.