51 Cloud Operations Engineer Jobs

Required Skills & Qualifications :

- 3-6 years of experience in CloudOps, or DevOps teams focusing on MLOps.

- Hands-on experience with AWS AI/ML services such as SageMaker, Bedrock, Lambda, and S3 etc.

- Strong expertise in CI/CD automation for ML using tools like GitLab CI/CD, Jenkins, Azure DevOps or AWS CodePipeline.

- Experience with workflow orchestration using Kubeflow, Apache Airflow, or Step Functions.

- Proficiency in containerization technologies (Docker, Kubernetes, AWS EKS).

- Strong scripting and automation skills using Python, Bash

- Knowledge of model monitoring, logging, and lineage tracking for governance and compliance.

- Understanding of ML model lifecycle, feature stores, and data engineering workflows.

Roles & Responsibilities :

- AWS Cloud Administration : Own the troubleshooting, administration, and optimization of AWS environments, applications, databases, and servers.

- Infrastructure as Code (IaC) : Design, implement, and maintain cloud infrastructure using Terraform.

- Monitoring & Performance Optimization: Continuously monitor infrastructure health, application performance, and security gaps, ensuring proactive resolution.

- Compliance & Security Audits : Support the implementation and auditing of security and compliance frameworks such as SOC 2, StateRAMP, and FedRAMP.

- Automation & Scripting : Develop and optimize automation scripts for infrastructure provisioning, patching, and operational tasks.

- Production Readiness & Reliability : Conduct regular DR tests, enforce reliability best practices, and optimize cloud resource utilization.

- Incident & Change Management : Lead incident response for production issues, perform root cause analysis, and collaborate with teams to implement preventive measures.

- On-Call & Maintenance : Participate in a 24/7 On-Call rotation (one week per month) and monthly patching activities on one Saturday per month (compensatory time off provided).