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Home
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InfoVision Inc.
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DevOps Engineer

DevOps Engineer

InfoVision Inc.

6 years

0 Lacs

Pune Maharashtra India

Posted:1 day ago| Platform:

Apply

Skills Required

devops pipeline jenkins gitlab model communication ai docker kubernetes aws design automate code test deployment monitoring terraform gcp support management orchestration logging devsecops integration service linkerd api collaborative flexibility learning

Work Mode

On-site

Job Type

Full Time

Job Description

DevOps Engineer

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

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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