Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview

We are looking for a hands-on

DevOps Engineer

with a strong focus on

CI/CD pipeline creation and optimization

, expertise in

Jenkins and GitLab CI

, and experience with integrating

Model Context Protocol (MCP)

and

Agent-to-Agent (A2A)

communication protocols. The role also involves deploying self-hosted Generative AI tools using

Docker

and

Google Kubernetes Engine (GKE)

and supporting scalable cloud infrastructure on

AWS and GCP

.

Required Skills

  • 4–6 years of hands-on DevOps and CI/CD experience
  • Strong proficiency in:
  • Jenkins pipelines (declarative and scripted)
  • GitLab CI/CD pipeline creation and maintenance
  • Experience building and integrating MCP and A2A protocols in enterprise environments
  • Proficiency with Docker, container orchestration, and deployment automation
  • Strong working experience with Google Kubernetes Engine (GKE) and Kubernetes resource management
  • Familiarity with AWS and GCP services for hosting scalable applications
  • Experience with monitoring/logging tools (e.g., Prometheus, Grafana, ELK, CloudWatch)

Good To Have

  • Experience deploying or managing Generative AI models or platforms (e.g., private GPT, RAG pipelines)
  • Exposure to IaC tools like Terraform, Helm, or Ansible
  • Understanding of DevSecOps principles, SAST/DAST integration, and policy automation
  • Familiarity with service mesh (Istio/Linkerd) and API gateways

What We Offer

  • Work at the intersection of AI, DevOps, and cloud automation
  • Hands-on exposure to self-hosted GenAI platforms and enterprise-scale CI/CD ecosystems
  • A fast-paced, collaborative environment with opportunities for innovation and ownership
  • Flexibility in work setup and access to continuous learning resources

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