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DevOps / Site Reliability Engineer (SRE) : W2 role

S3 Connections LLCParsippany-Troy Hills, NJ🇺🇸United StatesPosted 22 Jul 2026

Why This Role Stands Out

This role offers a fantastic opportunity to build and maintain scalable cloud infrastructure for modern AI platforms, allowing you to significantly impact AI security initiatives. You'll thrive here if you have a strong background in DevOps, SRE, and cloud-native technologies, eager to automate and optimize complex systems. Apply now to join a dynamic team and grow your expertise in a critical technology space.

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Job Title: DevOps / Site Reliability Engineer (SRE)

Locations: Parsippany, NJ (2 Positions) / Alpharetta, GA (3 Positions) onsite

W2 Only

Job Description

We are seeking an experienced DevOps / Site Reliability Engineer (SRE) to support modern AI platforms and cloud-native infrastructure. The ideal candidate will have strong experience with DevOps, SRE practices, cloud technologies, automation, and CI/CD pipelines. This role will also support AI security initiatives by implementing remediation recommendations identified by Mythos AI and collaborating with engineering and security teams.

Required Skills

  • Strong experience in DevOps and Site Reliability Engineering (SRE)
  • Experience supporting cloud-native applications and infrastructure
  • Hands-on experience with CI/CD pipelines and automation
  • Experience with Docker, Kubernetes, and container orchestration
  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
  • Strong scripting skills (Python, Bash, or PowerShell)
  • Experience with Infrastructure as Code (Terraform, Ansible, or similar)
  • Knowledge of monitoring and observability tools
  • Strong troubleshooting and production support skills
  • Understanding of AI platforms and AI security concepts

Responsibilities

  • Build, automate, and maintain scalable cloud infrastructure
  • Develop and support CI/CD pipelines for application deployments
  • Monitor system reliability, performance, and availability
  • Collaborate with security teams to implement remediation for AI security findings
  • Support AI platform deployments and cloud-native services
  • Automate infrastructure provisioning and operational tasks
  • Troubleshoot production issues and improve platform reliability
  • Maintain documentation and operational best practices

Skills

Docker
AWS
Ansible
Azure
Bash
Google Cloud
Kubernetes
PowerShell
Python
Terraform

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