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Information Technology, Software Development, IT Consulting

DevOps Engineer

Cumming, Georgia, United StatesOnsiteContractPosted 1 month agoVisa sponsorship available

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Position: DevOps/MLOps Engineer

Location: Cumming, GA

Duration: Long-term contract

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

Job Description:

  • 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.
  • 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
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