DevOps Engineer

20 hours ago

Hyderabad, Telangana, India Z2Data Full time ₹ 6,00,000 - ₹ 18,00,000 per year

About the Role

We are looking for an experienced
DevOps Engineer
to join our engineering team. This role involves setting up, managing, and scaling
development, staging, and production environments
both on
AWS cloud and on-premise (open source stack)
. You will be responsible for
CI/CD pipelines, infrastructure automation, monitoring, container orchestration, and model deployment workflows
for our enterprise applications and AI platform.

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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