Senior DevOps Engineer Multi-Cloud (AI Platform & FinOps)

Remote • Posted 3 hours ago • Updated 3 hours ago
Contract W2
Remote
$70 - $90/hr
Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

  • Amazon SageMaker
  • Amazon Web Services
  • Artificial Intelligence
  • Budget
  • Cloud Computing
  • Communication
  • Computer Science
  • Continuous Delivery
  • Cost Management
  • DevOps
  • Docker
  • Good Clinical Practice
  • Google Cloud Platform
  • Grafana
  • Jenkins
  • Kubernetes
  • Machine Learning (ML)
  • Mentorship
  • Microsoft Azure
  • Oracle Policy Automation
  • PASS
  • Presentations
  • SaaS
  • Terraform
  • Workflow
  • Vertex

Summary

Job Title: Senior DevOps Engineer Multi-Cloud (AI Platform & FinOps)
Job #7350: 12-month W-2 contract (likely extension)
Rate: $78 $92 per hour DOE
Location: Remote USA EST

About the role

Our client, a global tech-services firm that builds SaaS and data platforms for Fortune 1000 companies, needs an experienced DevOps engineer to automate and secure machine-learning pipelines across AWS, Azure, and Google Cloud Platform with an eye on reliability and cost efficiency.

What you ll do:

Build landing zones with Terraform, Pulumi, and AWS CDK for new client environments.
Develop GitOps workflows in Argo CD or Jenkins to retrain and deploy models for multiple tenants.
Package workloads in Docker and deploy to EKS, GKE, and AKS using blue/green or canary strategies.
Integrate Kubecost, CloudWatch, and Azure Cost Management to surface actionable spend insights.
Enforce policy-as-code with OPA, Kyverno, or HashiCorp Sentinel on every pull request.
Lead post-incident reviews and mentor teams on SRE best practices.

What you bring:

7 + years in DevOps / SRE, including 3 + years on ML or data-intensive workloads.
Hands-on multi-cloud deployment experience on at least two of AWS, Azure, Google Cloud Platform.
Strong skills with Terraform, Pulumi, CDK, Helm, Kubernetes, and Docker.
Familiarity with SageMaker, Vertex AI, Azure ML, Kubeflow, or MLflow.
Experience with Prometheus, Grafana, Datadog, Trivy, and related security tooling.
Excellent written and asynchronous communication; comfortable presenting to clients.
BS in Computer Science (or equivalent). CKA or AWS Professional cert preferred.

Why contract with the client:

Rotational assignments every 6-9 months keep the work fresh.
Annual budget for CKA, FinOps Practitioner, or a cloud certification of your choice.
Paid pass (virtual or in-person) to KubeCon, re: Invent, or Google Next.
Remote-first: only a four-hour overlap window; the rest is async.
Earn a $1,000 referral bonus if we hire someone you recommend.

Not for you? SherlockTalent offers a $1000 referral bonus for successful placements into this role. Include your name in the Referral Source field on the application.

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: comfl001
  • Position Id: 7350
  • Posted 3 hours ago
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