Senior DevOps Engineer – AWS ML Pipelines & FinOpsJob #734912-month W-2 contract (renewal likely)Rate: $80 – $95 per hour DOE Location: Remote / Hybrid - Core hours 09:00 – 13:00 PST
About the role
A Tier-1 U.S. bank is modernising its 20-year-old core platform. We need a seasoned DevOps engineer to design and operate SageMaker-based ML pipelines in AWS while meeting strict security, uptime, and cost-management requirements.
What you’ll do
Provision secure landing zones with AWS CDK and Terraform; implement least-privilege IAM.
Build GitOps pipelines in Argo CD for continuous model retraining, blue/green inference, and data-drift checks.
Break monolithic services into EKS microservices behind API Gateway with zero‑downtime principles.
Set up CloudWatch and Grafana dashboards for latency, cost, and data‑quality SLOs with real‑time alerts.
Apply policy‑as‑code (OPA or Kyverno) so every container meets banking‑grade compliance at commit time.
Champion infrastructure‑as‑code: every subnet, secret, and S3 bucket lands through a pull request.
What you bring
7+ years DevOps / SRE on AWS, with at least 3 years supporting ML or data‑heavy platforms.
Deep expertise in Terraform or CDK, containers, and EKS operations.
Demonstrated FinOps results in regulated environments (banking, healthcare, etc.).
Strong experience with SageMaker; familiarity with Bedrock, EMR, Kafka, or Iceberg is a plus.
Proficiency with CloudWatch, Grafana, Prometheus, Trivy, Falco, and related security tools.
Clear, concise communicator committed to blameless post‑mortems.
BS in Computer Science (or equivalent). AWS Professional or CKA cert preferred.
Why contract with us
Dedicated budget for CKA, AWS Solutions Architect Professional, or FinOps Practitioner certification.
Paid attendance (virtual or on‑site) at re:Invent or KubeCon.
Monthly home‑office or co‑working stipend.
Remote‑first culture: four‑hour PST overlap window; the rest is async.
Refer a candidate and earn a $1,000 bonus if they are hired.
Interested? Apply below.
#J-18808-Ljbffr
