Onsite || Cloud/ Devops Engineer with AI/ML || New Jersey ,USA

Position : Cloud / DevOps Engineer with AI/ML

Role Overview

We are looking for an experienced Senior Cloud / DevOps Engineer (5+ years exp) to design, build, and maintain secure, scalable AWS infrastructure and automated CI/CD pipelines. You will drive container orchestration, manage observability platforms, implement DevSecOps, and build modern platform infrastructure supporting AI/ML workflows.

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).