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Senior DevOps Engineer AI - ML at Donyati. Location Information: . Job Description: Senior DevOps Engineer – Application Deployment. . Position: Senior DevOps Engineer. . Location: [Remote]. . Employment Type: Full-time. . Experience: 6–10 yearsAbout the Role. We are seeking a highly skilled . Senior DevOps Engineer.  with deep expertise in . Terraform. , . AWS & Azure cloud platforms. , and . GitHub 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.. Key Responsibilities. 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 GitHub 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 CloudWatch, 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 DevOps engineers and drive adoption of . DevOps and automation best practices. .. Required Skills & Experience. 6+ years.  of DevOps / Cloud Engineering experience.. Terraform (mandatory).  – strong expertise with reusable modules, workspaces, and state management.. Advanced knowledge of . AWS ECS Fargate. , . EKS. , and supporting services.. Hands-on with . Azure cloud services.  (AKS, ACR, App Services, networking, DevOps/GitHub integrations).. Proven experience with . GitHub Actions CI/CD.  (workflows, runners, pipelines).. Strong proficiency with . Kubernetes (EKS/AKS). , Helm, and container lifecycle management.. Monitoring and logging using CloudWatch, Azure Monitor, Prometheus, Grafana, or ELK.. Strong scripting ability (Python, Bash, PowerShell).. Security: IAM, RBAC, secrets management, Key Vault.. Preferred Qualifications. Experience with . MLOps pipelines.  (model training/deployment automation, MLflow, Kubeflow, SageMaker, Azure ML).. Familiarity with . GitOps workflows.  (ArgoCD, Flux) and . service mesh.  (Istio, Linkerd).. Certifications: . AWS DevOps Engineer Professional. , . Azure DevOps Engineer Expert. , . Terraform Associate. .. Multi-cloud deployment expertise (AWS + Azure).. Cost optimization and performance tuning in cloud environments.. Soft Skills. Strong problem-solving and analytical mindset.. Effective communicator and collaborator across cross-functional teams.. Ability to mentor and lead DevOps practices.. Adaptable to fast-paced, agile environments.