Senior Devops Engineer
LTM · Pune · hybrid · Posted today
Undisclosed5–8 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Role & responsibilities
Role Overview
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
Must Have
- 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 Infrastructure as Code.
- Strong monitoring and observability experience (CloudWatch, Grafana, Loki, Splunk, OpenTelemetry).
- Good understanding of cloud security and compliance.
MLOps / AIOps Experience (Any One)
- SageMaker
- MLflow
- Kubeflow
- Airflow
- Bedrock
- AgentCore
Good to Have
- Experience with Celery, LLM Gateway, 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)
- Terraform Associate
Preferred
- AWS Solutions Architect / DevOps Engineer
What You'll Work On
- Client facing cutting edge large-scale AWS platforms
- AI/GenAI & Agentic application deployments
- Kubernetes & GitOps ecosystems
- Enterprise DevSecOps and MLOps platforms
- Regulated pharma and life sciences solutions
Sourced from naukri
Skills
JenkinsDevopsDockerKubernetes