Senior DevOps Engineer (AWS) — ML Pipelines & FinOps

SherlockTalent; Miami (FL); Remote; USD 110,208 - 130,872; Full time

Benefits offered by this job

Dedicated certification budget

Paid attendance at industry conferences

Monthly home-office stipend

Remote-first culture

Referral bonus for candidates

Job summary

A leading tech talent firm is seeking a Senior DevOps Engineer specializing in AWS machine learning pipelines. The role involves designing and operating SageMaker-based ML pipelines while ensuring security and cost management for a U.S. bank's core platform modernization. Candidates should have over 7 years of DevOps experience on AWS, with expertise in Terraform and EKS. The position offers a remote-first culture and various certification opportunities.

Qualifications

• 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.

Responsibilities

• Provision secure landing zones with AWS CDK and Terraform.
• Build GitOps pipelines in Argo CD for continuous model retraining.
• Set up CloudWatch and Grafana dashboards for latency and cost monitoring.

Skills

AWS

Terraform

EKS

SageMaker

FinOps

CloudWatch

Grafana

Education

BS in Computer Science or equivalent

Tools

AWS CDK

Argo CD

Prometheus

Trivy

Job description

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.