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

Robotics Technologies LLC; Newark (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

Robotics Technologies LLC in Newark, New Jersey seeks a Senior DevOps Engineer with 7-8 years of experience in designing, implementing, and managing cloud infrastructure, automation, and CI/CD pipelines.

The ideal candidate has strong expertise in AWS, Kubernetes, Docker, Infrastructure as Code, and DevOps automation practices, and will collaborate with development, QA, and security teams to deliver reliable, scalable systems.

Qualifications

• 7-8 years of experience in DevOps, Cloud Engineering, or infra automation.
• Strong hands-on AWS (EC2, S3, VPC, IAM, EKS, RDS).
• Expertise in Docker and Kubernetes.
• Experience with Terraform and Ansible.
• Proficiency in Jenkins, GitLab CI/CD, or GitHub Actions.
• Skilled with Linux administration and scripting (Python, Bash, YAML).

Responsibilities

• Design, implement, and maintain scalable AWS cloud infrastructure.
• Build and manage CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions.
• Automate provisioning with Terraform and Ansible.
• Deploy and troubleshoot containerized apps with Docker and Kubernetes.
• Monitor performance, availability, and reliability.
• Apply security controls and compliance standards for infrastructure.
• Collaborate with development, QA, and security teams to streamline deployments.
• Set up logging/monitoring with Prometheus, Grafana, and ELK.
• Optimize cloud resources for performance, scaling, and cost.
• Support production releases, incidents, and disaster recovery.

Skills

AWS

Docker

Kubernetes

Linux administration

Python

Bash

YAML

Git

Networking concepts

Monitoring

Security best practices

Tools

Terraform

Ansible

Jenkins

GitLab CI/CD

GitHub Actions

Helm

ArgoCD

Job description

Robotics Technologies LLC in Newark, New Jersey seeks a Senior DevOps Engineer with 7-8 years of experience in designing, implementing, and managing cloud infrastructure, automation, and CI/CD pipelines.

The ideal candidate has strong expertise in AWS, Kubernetes, Docker, Infrastructure as Code, and DevOps automation practices, and will collaborate with development, QA, and security teams to deliver reliable, scalable systems.