Data Wave Technologies Inc
Data Wave Technologies Inc

Senior DevOps Engineer with AI/ML

Cumming, GA, US • Posted 1 day ago • Updated 3 minutes ago
Contract W2
Contract Independent
75% Travel Required
On-site
Fitment

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Job Details

Skills

  • DevOps
  • aws

Summary

Job Title: Senior DevOps Engineer with AI/ML

Location: Cumming, GA Hybrid

Duration: Long term

Tax Term:- W2

Job Summary

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 Google Cloud Platform 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)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90696805
  • Position Id: 2026-5650
  • Posted 1 day ago
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