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    Job · 22542212

    LTM logo

    Senior Devops Engineer

    LTM · Pune · hybrid · Posted today

    Undisclosed5–8 yrsfulltimeSourced fromNaukri

    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

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