AI Platform & DevOps Engineer

Build and operate shared platforms that support enterprise data and AI applications. This hands-on role focuses on Azure, deployment automation, monitoring, security and cost control. You will work with Data Engineers, Infrastructure, Cyber Security and application teams to bring solutions into production and operate them reliably.

About Sembcorp Group

About Sembcorp

Sembcorp is a leading energy and urban solutions provider headquartered in Singapore. Led by its purpose to drive energy transition, Sembcorp delivers sustainable energy solutions and urban developments by leveraging its sector expertise and global track record.

At Sembcorp, our culture is shaped by a strong set of shared behaviours that guide the way we work and uphold our commitment to driving the energy transition.

We foster an institution-first mindset, where the success of Sembcorp takes precedence over individual interests. Collaboration is at the heart of what we do, as we work seamlessly across markets, businesses, and functions to achieve our goals together. Accountability is a core principle, ensuring that we take ownership of our commitments and deliver on them with integrity and excellence. These values define who we are and create a workplace where our people can thrive while making a meaningful impact on driving energy transition.

Join us in making a real impact!

Responsibilities

• Build and maintain cloud and Kubernetes environments for data and AI workloads, partnering with Infrastructure on networking, identity, storage and capacity.
• Automate infrastructure provisioning and deployments through infrastructure as code, CI/CD pipelines and reusable templates.
• Implement monitoring and alerting; investigate production incidents and resolve recurring reliability, performance and capacity issues.
• Support Databricks platform operations, including workspace configuration, access, compute policies and platform cost controls.
• Build and operate AI gateway capabilities for model access, authentication, routing, usage limits and token and cost monitoring.
• Implement security controls with Infrastructure and Cyber Security, including secrets management, least-privilege access, vulnerability remediation and hardening.
• Maintain runbooks, recovery procedures and operational documentation; support recovery testing and production readiness.
• Evaluate new platform capabilities and introduce those that improve reliability, delivery speed or cost.

Requirements

• Typically 6 or more years in platform engineering, DevOps, cloud engineering or site reliability engineering, with hands-on production ownership.
• Strong practical experience with Microsoft Azure, Docker and Kubernetes or AKS.
• Experience building CI/CD pipelines with Azure DevOps, GitHub Actions or equivalent tools, and using Git for version control.
• Practical infrastructure-as-code experience, such as Terraform or Bicep, and scripting with Python or Bash.
• Working knowledge of cloud networking, identity and access management, secrets, observability and container security.
• Evidence of troubleshooting production issues, implementing lasting fixes and collaborating across engineering and security teams.
• Databricks administration, compute policies and platform monitoring.
• AI gateways, model serving, MLOps or AI usage and cost controls.
• MCP integrations, AI agents, and LLM evaluation using tools such as MLflow, DeepEval or equivalent technologies.
• GCP integrations or hybrid-cloud environments.
• GPU inference operations using NVIDIA infrastructure, vLLM or equivalent technologies.
• Our Culture at Sembcorp