SS
Senior DevOps Engineer with AI/ML
Silver Search Inc
On-site Contract Senior $75 – $85/hr Today
About the role
Position Title
Senior DevOps Engineer with AI/ML – Cumming, GA
About
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.
- Long‑term contract position
- On‑site 3× a week in Cumming, GA
- Final interview onsite – only local candidates will be considered
- Employment type: W2 or C2C
- Rate: $75‑85/hr
- Salary: $75 – $85 per Hour
- Job ID: JOB-12256
- Date: 03/12/2026
- Tagged as: Senior DevOps Engineer with AI/ML
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)
Requirements
- 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
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
Skills
AWSBashCloudFormationDatadogDockerGitOpsGitHub ActionsGrafanaGCPIaCJenkinsKubernetesNxPrometheusPythonTerraformTypeScript
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