Remote 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

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.