Remote Senior DevOps Engineer - AWS ML Pipelines & FinOps

SherlockTalent; Miami (FL); Hybrid; USD 166,000 - 198,000; Full time

Benefits offered by this job

Conference attendance (paid)

Home-office stipend

Budget for certifications (CKA/AWS)

Refer a candidate bonus

Job summary

SherlockTalent is seeking a Senior DevOps Engineer to design and operate SageMaker-based ML pipelines in AWS, ensuring security, uptime, and cost management for a 1 Bank-led project. The role emphasizes Terraform/CDK, EKS, and GitOps practices.

You will build secure landing zones, implement least-privilege IAM, and deploy infrastructure-as-code across subnets, secrets, and S3 resources. Remote/Hybrid with PST overlap.

Qualifications

• 7+ years of DevOps/SRE on AWS, incl. 3+ years for ML or data-heavy platforms.
• Deep expertise in Terraform or CDK, containers, and EKS operations.
• Proven FinOps results in regulated environments (banking, healthcare, etc.).
• Experience with SageMaker; familiarity with Bedrock, EMR, Kafka, or Iceberg is a plus.
• AWS Professional Certification or similar credentials preferred.

Responsibilities

• Design and operate SageMaker-based ML pipelines in AWS with security and cost controls.
• Provision secure landing zones using AWS CDK and Terraform; implement least-privilege IAM.
• Build GitOps pipelines in Argo CD for model retraining and data-drift checks.
• Move toward EKS-based microservices behind API Gateway with zero-downtime.
• Establish CloudWatch/Grafana dashboards for latency, cost, and data-quality SLOs.
• Apply policy-as-code (OPA/Kyverno) for banking-grade compliance at commit time.
• Champion infrastructure-as-code; every subnet/secret/S3 bucket via PR.

Skills

AWS DevOps

Terraform/CDK

EKS/Containers

SageMaker

FinOps

Monitoring/Observability

Security/Governance

CI/CD

SRE mindset

Education

BS in Computer Science

Tools

SageMaker

Kubernetes (EKS)

Docker

AWS CDK

Terraform

Prometheus

Grafana

Trivy/Falco

Job description

SherlockTalent is seeking a Senior DevOps Engineer to design and operate SageMaker-based ML pipelines in AWS, ensuring security, uptime, and cost management for a 1 Bank-led project. The role emphasizes Terraform/CDK, EKS, and GitOps practices.

You will build secure landing zones, implement least-privilege IAM, and deploy infrastructure-as-code across subnets, secrets, and S3 resources. Remote/Hybrid with PST overlap.