DevOps Engineer

Coforge; Englewood Cliffs (NJ); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

5 Days Onsite

Job summary

Coforge is seeking a DevOps Engineer in Englewood Cliffs, NJ, to design scalable AWS architecture and manage microservices with Docker and Kubernetes. The role emphasizes CI/CD with GitLab, observability through Datadog and New Relic, and strong automation using Python and Shell scripting.

The ideal candidate has 5+ years in DevOps/Cloud, hands-on AWS/Linux, and security-minded DevSecOps experience, with on-site work five days a week.

Qualifications

• 5+ years in DevOps, Cloud Engineering, or Platform Operations.
• Hands-on with AWS and Linux administration.
• Production Docker and Kubernetes experience.
• GitLab CI/CD expertise.
• Datadog and New Relic monitoring setup experience.
• Python and Bash scripting for automation; security aware.

Responsibilities

• Design and maintain scalable, high-availability AWS architecture.
• Architect and manage microservices with Docker and Kubernetes (EKS).
• Build and optimize end-to-end automated workflows using GitLab CI.
• Set up deep monitoring, logging, and alerting via Datadog and New Relic.
• Implement DevSecOps practices including IAM and secret management; support AI/ML infra deployments.
• Develop production-grade automation using Python and Shell Scripting on Linux.

Skills

DevOps

Cloud Infrastructure

Containers & K8s

CI/CD Pipelines

Observability

Security & DevSecOps

Automation

Python

Shell Scripting

GitLab / GitLab

Datadog

New Relic

Tools

Docker

Kubernetes

GitLab CI/CD

Terraform

Datadog

New Relic

AWS

Linux

Job description

Skills: DevOps, Cloud Infrastructure, Containers & K8s, CI/CD Pipelines, Observability, Security & DevSecOps, Automation, Python , Shell Scripting, GitLab / GitLab, Datadog, New Relic

Experience: 5-7+ years

Location: Englewood Cliffs, NJ

5 Days Onsite

We at Coforge are hiring an DevOps Engineer with the following skillset:

Key Responsibilities

• Cloud Infrastructure: Design and maintain scalable, high-availability architecture on AWS.
• Containers & K8s: Architect and manage microservices using Docker and Kubernetes (EKS).
• CI/CD Pipelines: Build and optimize end-to-end automated workflows using GitLab CI.
• Observability: Set up deep monitoring, logging, and proactive alerting via Datadog and New Relic.
• Security & DevSecOps: Integrate security scans, IAM policies, and secrets management; support AI/ML infrastructure deployments.
• Automation: Write production-level automation using Python and Shell Scripting in Linux environments.

Required Skills & Qualifications

• Experience: 5+ years in DevOps, Cloud Engineering, or Platform Operations.
• Cloud & OS: Strong hands-on expertise with AWS & Linux system administration.
• Containers: Production experience with Docker & Kubernetes (K8s).
• CI/CD & Code: Expertise with GitLab / GitLab CI/CD.
• Monitoring: Hands-on setup with Datadog and New Relic.
• Scripting: Advanced proficiency in Python & Shell Scripting (Bash).
• Security & AI: Experience with DevSecOps best practices and supporting AI/ML application infrastructure.

Bonus Points

• AWS Certifications (Solutions Architect Professional or DevOps Engineer Professional).
• Kubernetes Certifications (CKA / CKS).
• Experience with Infrastructure as Code (Terraform).