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