DevOps / Site Reliability Engineer (SRE) : W2 role
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
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
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