Overview
On Site
Up to $60
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
Able to Provide Sponsorship
Skills
Jenkins pipelines (declarative and scripted)
GitLab CI/CD
Docker
Google Kubernetes Engine (GKE)
AWS
GCP
Prometheus
Grafana
ELK
CloudWatch
Generative AI models
private GPT
RAG pipelines
Terraform
Helm
orAnsible
DevSecOps principles
SAST/DAST integration
(Istio/Linkerd
telecom domain
Job Details
Role: DevOps Engineer
Location : NYC/NJ/Dallas
No. roles : 1
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 Google Cloud Platform.
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 & Google Cloud Platform)
- Implement secure, resilient, and scalable infrastructure-as-code using Terraform or Google Cloud Platform 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 Google Cloud Platform 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
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