Senior DevOps Engineer: Cloud, CI/CD & Kubernetes Expert

MACHINE LEARNING TECHNOLOGIES LLC; Berkeley Heights (NJ); On-site; USD 83,000 - 118,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Berkeley Heights, NJ seeks a Senior DevOps Engineer with 10+ years of hands-on experience to design, implement, and manage CI/CD pipelines, cloud infrastructure, and scalable production systems.

You will automate provisioning with IaC (Terraform, CloudFormation), manage Docker/Kubernetes deployments, and ensure security, reliability, and cost optimization across environments.

Qualifications

• 10+ years of hands-on DevOps/SRE/Platform Engineering experience.
• Strong experience with at least one major cloud provider (AWS/Azure/GCP).
• Proficient in Linux/Unix administration and scripting (Shell, Python, Groovy).
• Hands-on CI/CD with Jenkins, GitHub Actions, GitLab CI, Bamboo, etc.
• Experience with IaC (Terraform preferred).
• Docker and Kubernetes expertise plus Helm and clustering.
• Solid understanding of networking, security, and load balancing.
• Familiarity with secrets management (Vault, AWS Secrets Manager, Azure Key Vault).

Responsibilities

• Design, implement, and maintain CI/CD pipelines.
• Automate provisioning using IaC (Terraform, CloudFormation).
• Deploy and manage Docker containers and Kubernetes clusters.
• Build secure, scalable cloud infrastructure (AWS/Azure/GCP).
• Monitor performance, cost, and reliability; RCA and incident handling.
• Mentor junior DevOps engineers and contribute to architecture decisions.
• Drive DevOps and DevSecOps practices across teams.

Skills

CI/CD

Cloud platforms

Linux admin

Scripting

Docker

Kubernetes

Networking

Security

Monitoring

Incident management

Tools

Terraform

Jenkins

GitHub Actions

GitLab CI

Docker

Kubernetes

Helm

Prometheus

Grafana

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Berkeley Heights, NJ seeks a Senior DevOps Engineer with 10+ years of hands-on experience to design, implement, and manage CI/CD pipelines, cloud infrastructure, and scalable production systems.

You will automate provisioning with IaC (Terraform, CloudFormation), manage Docker/Kubernetes deployments, and ensure security, reliability, and cost optimization across environments.