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DevOps Engineer (1 Position)

0 years

0 Lacs

Hyderabad Telangana India

Posted:3 days ago| Platform: Linkedin logo

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Skills Required

devops engineering scaling development aws automation monitoring orchestration model deployment ai design automate provisioning terraform testing security scanning configuration management containerization docker kubernetes service auto logging metrics support ml data iam api github jenkins gitlab helm stack jaeger vault mlflow pipeline optimization code gitops

Work Mode

On-site

Job Type

Full Time

Job Description

About the Role

DevOps Engineer

Key Responsibilities

  • Infrastructure Setup & Management

    Design and implement

    cloud-native architectures on AWS

    and be able to manage

    on-premise open source environments when required

    .
  • Automate infrastructure provisioning using tools like Terraform or CloudFormation.
  • Maintain scalable environments for

    dev, staging, and production

    .

  • CI/CD & Release Management

    Build and maintain

    CI/CD pipelines

    for backend, frontend, and AI workloads.
  • Enable automated testing, security scanning, and artifact deployments.
  • Manage configuration and secret management across environments.

  • Containerization & Orchestration

    Manage

    Docker-based containerization

    and

    Kubernetes clusters (EKS, self-managed K8s)

    .
  • Implement service mesh, auto-scaling, and rolling updates.

  • Monitoring, Security, and Reliability

    Implement

    observability (logging, metrics, tracing)

    using open source or cloud tools.
  • Ensure security best practices across infrastructure, pipelines, and deployed services.
  • Troubleshoot incidents, manage disaster recovery, and support high availability.

  • Model DevOps / MLOps

    Set up pipelines for

    AI/ML model deployment and monitoring

    (LLMOps).
  • Support

    data pipelines, vector databases, and model hosting

    for AI applications.

Required Skills and Qualifications

  • Cloud & Infra

    Strong expertise in

    AWS services

    : EC2, ECS/EKS, S3, IAM, RDS, Lambda, API Gateway, etc.
  • Ability to set up and manage

    on-premise or hybrid environments

    using open source tools.

  • DevOps & Automation

    Hands-on experience with

    Terraform / CloudFormation

    .
  • Strong skills in

    CI/CD tools

    such as GitHub Actions, Jenkins, GitLab CI/CD, or ArgoCD.

  • Containerization & Orchestration

    Expertise with

    Docker

    and

    Kubernetes

    (EKS or self-hosted).
  • Familiarity with Helm charts, service mesh (Istio/Linkerd).

  • Monitoring / Observability Tools

    Experience with

    Prometheus, Grafana, ELK/EFK stack, CloudWatch

    .
  • Knowledge of distributed tracing tools like Jaeger or OpenTelemetry.

  • Security & Compliance

    Understanding of

    cloud security best practices

    .
  • Familiarity with tools like Vault, AWS Secrets Manager.

  • Model DevOps / MLOps Tools (Preferred)

    Experience with

    MLflow, Kubeflow, BentoML, Weights & Biases (W&B)

    .
  • Exposure to

    vector databases (pgvector, Pinecone) and AI pipeline automation

    .

Preferred Qualifications

  • Knowledge of

    cost optimization for cloud and hybrid infrastructures

    .
  • Exposure to

    infrastructure as code (IaC) best practices

    and GitOps workflows.
  • Familiarity with

    serverless and event-driven architectures

    .

Education

  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).

What We Offer

  • Opportunity to work on

    modern cloud-native systems and AI-powered platforms

    .
  • Exposure to

    hybrid environments

    (AWS and open source on-prem).
  • Competitive salary, benefits, and growth-oriented culture.


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