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DevOps Engineer - Senior Vice President

Remote / Online - Candidates ideally in
Coos Bay, Coos County, Oregon, 97458, USA
Listing for: iCapital Network
Remote/Work from Home position
Listed on 2026-02-24
Job specializations:
  • IT/Tech
    Cloud Computing, AI Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 230000 USD Yearly USD 230000.00 YEAR
Job Description & How to Apply Below

Employer Industry: Financial Technology (Fin Tech)

Why consider this job opportunity:

  • Salary up to $230,000
  • Annual performance bonus and equity for all full‑time employees
  • Comprehensive benefits package including 100% employer‑paid dental, vision, telemedicine, and virtual mental health counseling
  • Generously subsidized healthcare and employer‑matched retirement plan
  • Unlimited paid time off (PTO)
  • Flexible remote work on Fridays, with in‑office collaboration Monday‑Thursday

What to Expect (Job Responsibilities):

  • Design, build, and operate MLOps pipelines supporting the full ML lifecycle (training, validation, deployment, monitoring)
  • Enable production workloads for AI/ML and Generative AI systems, including LLM‑based services
  • Develop and maintain CI/CD pipelines for AI/ML services and supporting infrastructure
  • Build and manage cloud‑native infrastructure on AWS, utilizing Kubernetes and containerized workloads
  • Implement monitoring and alerting for system health, model performance, and drift

What is Required (Qualifications):

  • 15+ years of experience in Dev Ops, SRE, or Platform Engineering, with AWS as a primary cloud
  • Hands‑on experience with machine learning platforms, particularly AWS Sage Maker
  • Strong hands‑on experience with Kubernetes, containerized workloads, and cloud networking
  • Proven experience building and operating CI/CD pipelines (e.g., Git Lab CI, ArgoCD)
  • Solid Linux, systems, and troubleshooting fundamentals

How to Stand Out (Preferred Qualifications):

  • Direct experience with MLOps platforms and tooling (model registries, experiment tracking, feature stores)
  • Exposure to Generative AI / LLM workloads in production environments
  • Background in cost optimization for compute‑intensive workloads
  • AWS certifications are a plus

#Financial Technology #MLOps #Dev Ops #Cloud Infrastructure #Career Opportunity

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We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.

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Position Requirements
10+ Years work experience
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