DevOps Engineer designing and optimizing modern cloud-native infrastructures for AI/ML workflows. Collaborating with cross-functional teams on AWS, Azure, and GCP platforms.
Responsibilities
Design, build, and maintain cloud-native infrastructures across AWS, Azure, and (optionally) GCP
Implement scalable, secure, and highly available systems using Kubernetes, Terraform, and CI/CD pipelines
Automate cloud provisioning and deployments, improve platform reliability, and ensure cost and performance optimization
Integrate observability tools (Datadog, Grafana, Prometheus, Splunk) into applications and support teams in monitoring and troubleshooting
Collaborate with developers, QA, and cross-functional teams to enable DevOps practices, streamline workflows, and improve delivery processes
Support AI/ML workloads by designing infrastructure for training, inference, and MLOps pipelines (SageMaker, Azure ML, Vertex AI)
Maintain documentation, build self-service DevOps tools, and contribute to platform best practices
Requirements
4+ years of experience in DevOps, SRE, or cloud platform engineering
Strong expertise in AWS or Azure cloud architectures, networking, and security
Skilled in Kubernetes (EKS/AKS), Docker, Helm, and modern infrastructure-as-code (Terraform)
Solid understanding of Linux systems, distributed systems, and scalable architecture design
Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps) and GitOps (ArgoCD)
Comfortable with observability tooling (Datadog, Splunk, Prometheus, Grafana)
Experience with AI/ML platforms or ML-driven workloads is a strong plus
Ability to work well with cross-functional teams and communicate clearly
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