Role & responsibilities

Role Overview

We are looking for a Senior DevOps & MLOps Engineer to design, automate, and manage cloud-native platforms supporting contemporary 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.




Robust 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

Valuable 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

📌 Senior Devops Engineer Pune
🏢 LTM
📍 Pune