Hybrid DevOps Automation, Observability Engineer

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About the role

  • 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

Benefits

  • Health insurance
  • Flexible work arrangements
  • Professional development

Job title

DevOps Automation, Observability Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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