Senior DevOps & MLOps Engineer
First seen by Alion on Oct 16, 2026.
Mandatory : CKA / CKAD / CKS (at least one)
Role : DevOps
Exp : 2-4 years
Preferred Location : Pune
Other Location - Gurgaon/Noida/BLR
JD :
We are looking for a Senior DevOps & MLOps Engineer to design, automate, and manage cloud-native platforms supporting modern AI/ML applications.
The role requires strong expertise in AWS, Kubernetes, CI/CD, GitOps, observability, and deployment of AI/agentic workloads.
Key Responsibilities :
- Manage and operate AWS EKS/Kubernetes platforms.
- Build and maintain CI/CD pipelines using GitHub Actions, TeamCity, and ArgoCD.
- Deploy and support AI/ML/agentic applications on AWS.
- Implement GitOps and infrastructure automation practices.
- Manage AWS services including IAM, ECR, CloudWatch, S3, and networking.
- Build observability solutions using OpenTelemetry, CloudWatch, Grafana, Loki, and Splunk.
- Implement secure, scalable, and compliant cloud architectures.
- Support AI platforms involving LLM gateways, model APIs, Bedrock, SageMaker, and distributed workloads.
- Collaborate with development, security, platform, and data teams.
- Troubleshoot infrastructure, deployment, performance, and security issues.
- Mentor junior engineers and contribute to platform best practices.
Required Skills and Qualifications :
- 4+ years of experience in DevOps, Cloud Engineering, or Platform Engineering.
- Strong hands-on experience with Kubernetes (EKS preferred).
- Experience with ArgoCD and GitOps workflows.
- Expertise in AWS services and IAM.
- CI/CD experience using GitHub Actions, Azure DevOps, or TeamCity.
- Experience with Terraform or other infrastructure as code.
- Strong monitoring and observability experience (CloudWatch, Grafana, Loki, Splunk, OpenTelemetry).
- Good understanding of cloud security and compliance.
- MLOps/AIOps experience with at least one of: SageMaker, MLflow, Kubeflow, Airflow, Bedrock, AgentCore.
Preferred Skills :
- Experience with Celery, LLM gateways, model serving, and AI workload deployment.
- Python or Bash scripting.
- Knowledge of GxP, HIPAA, or EU AI Act requirements.
Certifications :
Mandatory :
- CKA / CKAD / CKS (at least one)
- HashiCorp Terraform Associate
Preferred :
- AWS Solutions Architect or AWS DevOps Engineer
What You'll Work On :
- Client-facing, large-scale AWS platforms
- AI/GenAI and agentic application deployments
- Kubernetes and GitOps ecosystems
- Enterprise DevSecOps and MLOps platforms
- Regulated pharma and life sciences solutions
Skills
DevOps, MLOps, AWS, Kubernetes, LLMOps, Elastic Kubernetes Service, CI/CD, IT Infrastructure Automation, Monitoring Tools, IAC Terraform, Apache Airflow