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

Senior DevOps Engineer – Multi-Cloud (AI Platform & FinOps)Job #7350 12-month W-2 contract (likely extension)Rate: $78 – $92 per hour DOELocation: 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 GCP 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, 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

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