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

SherlockTalent; Miami (FL); Remote; USD 125,000 - 150,000; Full time

Job summary

A staffing agency is seeking a Senior DevOps Engineer for a 12-month remote contract. This role emphasizes multi-cloud environments and AI platforms. Candidates should have over 7 years in DevOps, strong skills in Terraform and Kubernetes, and a BS in Computer Science. Competitive hourly rate and various contract benefits including certification budgets are offered.

Benefits

Annual budget for certification

Paid KubeCon pass

Earn a referral bonus

Qualifications

• 7+ years in DevOps / SRE, including 3+ years on ML or data-intensive workloads.
• Hands-on multi-cloud deployment experience on AWS, Azure, or GCP.
• Strong skills with Kubernetes and Docker.

Responsibilities

• Build landing zones with Terraform and AWS CDK.
• Lead post-incident reviews and mentor teams on SRE best practices.
• Integrate cost management tools for actionable insights.

Skills

DevOps / SRE experience

Multi-cloud deployment

Terraform

Kubernetes

Docker

GitOps workflows

Excellent communication

Education

BS in Computer Science or equivalent

Tools

Terraform

AWS CDK

Argo CD

Prometheus

Grafana

Datadog

Job description

Overview

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.

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, GCP.
• 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.

Interested? Apply Below