SRE & DevOps Engineer: AI-Driven Infra & Cloud Automation

Advanced Tech Placement; Parsippany-Troy Hills (NJ); On-site; USD 120,000 - 170,000; Full time

Job summary

Advanced Tech Placement is seeking a hands-on SRE/DevOps Engineer to advance enterprise infrastructure and platform modernization initiatives. You will design and maintain CI/CD pipelines, integrate AI tools like Claude, and automate deployments across AWS and Kubernetes environments.

The role emphasizes practical problem solving over leadership, with a focus on rolling up sleeves and delivering reliable, scalable systems.

Qualifications

• This is not a leadership or management role.
• The ideal candidate enjoys rolling up their sleeves and solving complex technical problems.
• The manager specifically wants engineers already incorporating AI into their daily development process—not someone simply familiar with AI concepts.

Responsibilities

• Design, build, and maintain CI/CD pipelines supporting enterprise applications.
• Improve software delivery through DevOps and Site Reliability Engineering best practices.
• Support Infrastructure as Code (IaC) initiatives.
• Assist with AWS cloud infrastructure deployments and automation.
• Collaborate with senior engineers to improve deployment reliability, scalability, and operational efficiency.
• Utilize AI‑powered developer tools (such as Claude) to improve engineering productivity and software development workflows.
• Troubleshoot infrastructure, application deployment, networking, and automation issues.
• Support containerized applications running within Kubernetes/EKS environments.
• Continuously identify opportunities to automate manual operational processes.

Skills

SRE experience

CI/CD

Python

AWS

IaC

Kubernetes/EKS

AI tooling

Prompt engineering

Tools

Jenkins

Git

CI/CD platforms

Maven

Job description

Advanced Tech Placement is seeking a hands-on SRE/DevOps Engineer to advance enterprise infrastructure and platform modernization initiatives. You will design and maintain CI/CD pipelines, integrate AI tools like Claude, and automate deployments across AWS and Kubernetes environments.

The role emphasizes practical problem solving over leadership, with a focus on rolling up sleeves and delivering reliable, scalable systems.