Senior DevOps Engineer AI- ML

Job Description:

Senior Dev Ops Engineer – Application Deployment Position:
Senior Dev Ops Engineer

Location:

Remote

Employment Type:

Full-time

Experience:

6–10 years About the Role

We are seeking a highly skilled Senior Dev Ops Engineer with deep expertise in Terraform
, AWS & Azure cloud platforms
, and Git Hub CI/CD
. You will be responsible for building and managing scalable cloud infrastructure, enabling reliable application deployments, and automating delivery pipelines.

Exposure to MLOps practices (model deployment, monitoring, ML pipelines) will be considered a strong plus, as we are expanding towards AI/ML workloads in production.

• Architect, implement, and manage Infrastructure as Code Terraform for AWS and Azure.
• Lead containerized application deployments on AWS ECS Fargate
  , EKS
  , and Azure Kubernetes Service (AKS).
• Design, implement, and optimize CI/CD pipelines using Git Hub Actions for cloud-native applications.
• Automate infrastructure and application scaling, networking, and monitoring across AWS and Azure.
• Manage container orchestration using Docker, Kubernetes, and Helm charts
  .
• Ensure observability with Cloud Watch, Azure Monitor, Prometheus, Grafana, ELK, or equivalent.
• Enforce cloud security best practices (IAM, RBAC, policies, OIDC, Key Vault/Secrets Manager).
• Troubleshoot and resolve production issues to maintain high availability and performance.
• Collaborate with developers, cloud architects, and ML engineers on deployment pipelines.
• Mentor junior Dev Ops engineers and drive adoption of Dev Ops and automation best practices
  .

• 6+ years
  of Dev Ops / Cloud Engineering experience.
• Terraform (mandatory) – strong expertise with reusable modules, work spaces, and state management.
• Advanced knowledge of AWS ECS Fargate
  , EKS
  , and supporting services.
• Hands‑on with Azure cloud services (AKS, ACR, App Services, networking, Dev Ops/Git Hub integrations).
• Proven experience with Git Hub Actions CI/CD (workflows, runners, pipelines).
• Strong proficiency with Kubernetes (EKS/AKS), Helm, and container lifecycle management.
• Monitoring and logging using Cloud Watch, Azure Monitor, Prometheus, Grafana, or ELK.
• Strong scripting ability (Python, Bash, Power Shell).
• Security: IAM, RBAC, secrets management, Key Vault.

• Experience with MLOps pipelines (model training/deployment automation, MLflow, Kubeflow, Sage Maker, Azure ML).
• Familiarity with Git Ops workflows (ArgoCD, Flux) and service mesh (Istio, Linkerd).
• Certifications:
  
  AWS Dev Ops Engineer Professional
  , Azure Dev Ops Engineer Expert
  , Terraform Associate
  .
• Multi‑cloud deployment expertise (AWS + Azure).
• Cost optimization and performance tuning in cloud environments.

• Strong problem‑solving and analytical mindset.
• Effective communicator and collaborator across cross‑functional teams.
• Ability to mentor and lead Dev Ops practices.
• Adaptable to fast‑paced, agile environments.