AI DevOps Engineer (AWS · MLOps · Remote)
Key skills
About the role
Apply: hello@cloudiqs.com.
<p>CloudiQS is hiring a fully remote AI DevOps Engineer (4–8 yrs) for AWS-native MLOps work — SageMaker, Bedrock, Lambda, EKS — with CI/CD, IaC, and model-drift observability. Work from anywhere in India. Direct apply: hello@cloudiqs.com.</p><p>CloudiQS, a 2026-era AI-first infrastructure firm, is hiring senior AI DevOps Engineers to design and operate the production layer behind generative AI, computer vision, and NLP workloads. The fully remote role centres on AWS-native AI services — SageMaker for ML lifecycle, Bedrock for foundation models, Lambda + ECS/EKS for inference — wired together with CI/CD (CodePipeline/Jenkins) and Terraform-managed multi-region infrastructure. Strong cross-functional collaboration with data scientists, with on-call rotation and US/EU-timezone overlap.</p><h3>Responsibilities</h3><p>Design and operate CI/CD pipelines for ML models on AWS CodePipeline, CodeBuild, Jenkins. Manage AWS infrastructure for AI workloads — EC2, S3, SageMaker, Bedrock, Lambda, ECS/EKS. Wire observability for model performance and drift detection (CloudWatch + Prometheus + Grafana + AI-specific tooling). Author Terraform modules for cost-optimised, multi-region AI environments. Collaborate with data scientists on text / image / agentic AI deployments. Implement blue-green deployments, chaos engineering, and cost guardrails for large-scale training and inference. Ensure IAM, VPC, encryption, and compliance hygiene end to end.</p><h3>Requirements</h3><p>4–8+ years of DevOps / Cloud experience with strong AWS focus. AWS DevOps Engineer Professional or Solutions Architect certifications preferred. Hands-on Docker, Kubernetes (EKS), Terraform, Ansible, Python and Bash scripting. MLOps practice with SageMaker, MLflow, or Kubeflow for model lifecycle. Working knowledge of Generative AI tooling — AWS Bedrock, OpenAI integrations, prompt engineering. Strong Linux, networking, and security fundamentals. Excellent written and verbal English for fully async remote collaboration. Bachelor's / Master's in CS, Engineering, or equivalent practical experience.</p><h3>Why this role in 2026</h3><p>AI + DevOps is the fastest-growing speciality in Indian remote tech in 2026. CloudiQS's focus on production AWS Bedrock / SageMaker means you ship infra that real customers depend on — not lab toys. Remote-first culture removes Hyderabad / Bangalore / Pune relocation friction.</p><h3>Company & benefits</h3><p>Fully remote, flexible US/EU-overlap hours. Work-life balance with no relocation. Async collaboration with global teams.</p>
Watch: Careers & training at Cloud Soft Solutions
Training, real projects and placements — see Cloud Soft Solutions in action.
Frequently asked questions
What is the salary for AI DevOps Engineer (AWS · MLOps · Remote) at CloudiQS in India?
How do I apply for the AI DevOps Engineer (AWS · MLOps · Remote) role at CloudiQS?
What experience is required for this AI DevOps Engineer (AWS · MLOps · Remote) position?
Does Cloudsoft Solutions help candidates apply to jobs like this?
Is this a verified, current AI DevOps Engineer (AWS · MLOps · Remote) opening in India?
Related keywords
- AI DevOps Engineer (AWS · MLOps · Remote) in India
- CloudiQS careers India
- CloudiQS salary India
- DevOps jobs India 2026
- Cloud engineer jobs India
- All levels DevOps roles India
- AWS jobs India
- SageMaker jobs India
- Bedrock jobs India
- Lambda jobs India
- EKS jobs India
Want coaching before you apply?
Cloudsoft's placement desk — free for enrolled students, paid coaching available for external candidates. Resume, mock interviews, and warm intros.