Senior DevOps Engineer with AI/ML

Our Fintech client is looking for an experienced DevOps / MLOps Engineer to help build and manage cloud infrastructure, deployment pipelines, and operational systems supporting AI-driven platform initiatives. This is a high-visibility role in a fast-moving environment where candidates are expected to make an immediate impact.

This is a long-term contract position, and is onsite 3x a week in Cumming, GA.

Final interview will take place onsite—only local candidates will be considered.

W2 or C2C.
Rate = $75-85/hr

Responsibilities:

• Develop, implement, and maintain CI/CD pipelines using tools such as GitHub Actions, Jenkins, or similar platforms
• Provision and manage cloud infrastructure across AWS, Azure, or GCP using infrastructure-as-code tools like Terraform or CloudFormation
• Support containerized environments and orchestration using Docker and Kubernetes
• Monitor system performance, respond to incidents, and help define and track service reliability metrics (SLOs/SLAs)
• Partner with engineering teams to streamline and improve deployment processes
• Apply security best practices, including identity and access management, secrets handling, and network security policies
• Participate in on-call support as required

Qualifications

• 7+ years of experience in DevOps, Site Reliability Engineering, or platform engineering roles
• Strong hands-on experience with AWS
• Practical experience working with Kubernetes environments (EKS, GKE, or AKS)
• Proficiency with IaC tools such as Terraform
• Solid understanding of CI/CD methodologies and GitOps practices
• Experience with monitoring and observability tools such as Datadog, Grafana, or Prometheus
• Strong scripting ability in languages like Bash, Python, or TypeScript
• 1+ years of experience supporting AI/ML infrastructure, including GPU-based workloads or model deployment
• Familiarity with monorepo build systems such as Nx or similar tools
• Exposure to LLM integrations or AI platform ecosystems
• AWS certifications (e.g., Solutions Architect or DevOps Engineer)