Senior DevOps Engineer

Insight Global; Livingston (NJ); On-site; USD 150,000 - 190,000; Full time

Job summary

Insight Global is seeking an AI-focused DevOps Engineer to join its Global DevSecOps team in Livingston, NJ. You will design, implement, and support AWS-based cloud infrastructure and AI-enabled deployments, collaborating with product and engineering to scale enterprise solutions.

The role requires strong DevOps experience, expertise in AWS, Kubernetes (EKS), and IaC tools, with a focus on AI integration and secure, scalable infrastructure. This is a hands-on, architecture-influencing position.

Qualifications

• 5+ years in DevOps, platform or infra roles.
• Strong AWS design, administration and architecture.
• Experience integrating AI/LLM into pipelines.
• CI/CD with GitHub Actions and IaC: Terraform, Ansible, Packer.
• Hands-on Kubernetes (EKS) administration.

Responsibilities

• Design, implement, and support cloud infrastructure and platform solutions for AI-powered applications and services.
• Collaborate with engineering and product teams to build scalable, automated deployment pipelines.
• Ensure security, reliability, and scalability while guiding architecture decisions.
• Provide technical guidance and challenge requirements to align with platform standards.

Skills

AWS cloud architecture

AI/LLM integration

CI/CD pipelines

Kubernetes (EKS)

Networking fundamentals

Troubleshooting

Stakeholder management

Decision making

Cloud security controls

Tools

GitHub Actions

Terraform

Ansible

Packer

Job description

Job Description

We are seeking an AI-focused DevOps Engineer for one of our legal clients to join their Global DevSecOps team. This role will focus on designing, implementing, and supporting cloud infrastructure and platform solutions that enable AI-powered applications and services across the organization. The ideal candidate will have a strong AWS background combined with hands-on DevOps expertise and a practical understanding of how AI technologies integrate into modern software development environments. This individual will partner closely with engineering and product teams to build scalable infrastructure, automate deployments, and support AI-driven capabilities within enterprise systems. This role requires someone who is technically strong, comfortable influencing architectural decisions, and capable of providing direct recommendations when proposed solutions may not align with platform standards, security requirements, or long-term scalability goals.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 5+ years of experience as a DevOps Engineer, Platform Engineer, Infrastructure Engineer, or related role.
• Strong AWS experience, including cloud infrastructure design, administration, and architecture.
• Experience supporting and integrating AI/LLM technologies within enterprise applications and development pipelines.
• Understanding of how large language models (LLMs) and AI services are deployed, managed, and integrated into existing systems.
• Experience implementing AI-enabled workflows, automation, and platform solutions.
• Knowledge of MCP (Model Context Protocol) servers and AI tooling integrations.
• Experience building and maintaining CI/CD pipelines using GitHub Actions.
• Hands-on experience with Kubernetes administration and deployment, including EKS.
• Strong Infrastructure as Code experience using Terraform, Ansible, and Packer.
• Experience working closely with product and engineering teams to design scalable, reliable cloud solutions.
• Understanding of networking fundamentals including DNS, VPNs, load balancers, gateways, and security controls.
• Strong troubleshooting and root cause analysis skills.
• Excellent communication and stakeholder management skills.
• Confident decision-maker with the ability to challenge requirements, provide technical guidance, and push back when necessary.