DevOps Engineer

Sembcorp Industries•Central, LA

52d

About The Position

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. Join us in shaping a sustainable energy future Drive Asia's energy transition with us! Our Gas & Related Services segment is a key growth engine, delivering reliable and efficient energy to industries and communities across multiple countries. We support Asia's growing energy needs while advancing the shift to a lower-carbon future.

Requirements

Min 3 years of experience in DevOps or Site Reliability Engineering roles.
Strong hands-on experience with Azure DevOps Pipelines, Azure Kubernetes Service (AKS), Docker & Helm, Azure Key Vault, ACR, and Networking.
Experience integrating DevSecOps tools (e.g., Snyk, Aqua, Trivy).
Familiarity with monitoring and logging tools in Azure and open-source ecosystems.
Exposure to AI/ML workflows and Azure ML is a strong plus.
Proficient in scripting (Bash, PowerShell, or Python) and Git-based workflows.
Strong understanding of software development lifecycle (SDLC) and agile practices.

Nice To Haves

Knowledge of zero-trust security, RBAC, and network policies in Kubernetes.
Familiarity with AI testing frameworks or ML model CI/CD.

Responsibilities

CI/CD & DevSecOps: Design, build, and maintain robust CI/CD pipelines using Azure DevOps for data engineering and AI projects
Integrate DevSecOps tools such as Snyk Code and Snyk Container for static code analysis and container vulnerability scanning.
Automate security gates and compliance checks in the deployment lifecycle.
Azure Kubernetes & Deployment Management: Manage and optimize AKS clusters, including scaling, upgrades, and network policies.
Collaborate with developers to containerize applications
Improve performance and scalability of the cluster
Monitoring & Observability: Set up and maintain observability tools like Azure Monitor, Application Insights, Prometheus/Grafana, or OpenTelemetry.
Define SLIs/SLOs and alerting strategies for proactive issue detection.
AI Testing & Integration: Work with AI engineers to integrate automated testing for ML models and APIs into the CI/CD pipeline.
Support model versioning, deployment, and rollback strategies using Azure ML and AKS.
Collaboration & Architecture Support: Partner with architects and engineers to design scalable, secure, and cost-effective infrastructure.