DevOps Engineer
- InfoVision Inc
- 5 - 7 years
- Pune
- 1 day ago
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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:
- 46 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
Roles and Responsibilities
Key Responsibilities:
- Design, develop, and maintain CI/CD pipelines in Jenkins and GitLab CI/CD
- Build and integrate MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication interfaces with DevOps tools to enable automated workflows
- Manage containerized environments using Docker and orchestrate them with Kubernetes (GKE)
- Deploy and monitor self-hosted Generative AI platforms in Kubernetes clusters
- Work with developers and architects to automate code build, test, deployment, and monitoring pipelines
- Optimize infrastructure and pipeline performance across multi-cloud environments (AWS & GCP)
- Implement secure, resilient, and scalable infrastructure-as-code using Terraform or GCP Deployment Manager
- Support role-based access control (RBAC), secrets management, and observability within CI/CD workflows
- Monitor system health and proactively improve availability and performance
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DevOpsRole: DevOps EngineerEmployement Type: Full timeContact Details:
Company: InfoVision IncLocation(s): Pune
Keyskills: resource management container kubernetes continuous integration deployment automation ci/cd helm docker ansible cloud gcp devops jenkins sast bigquery prometheus amazon cloudwatch cd elk rbac gitlab ci grafana management container orchestration terraform gitlab devsecops aws
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