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AI Platform & Operations Engineer

2 months, 1 week ago
United States
Full-time
Senior
Machine Learning Engineer
DevOps and Infrastructure
AWS CI/CD GCP Go LLM Node.js Python Serverless Terraform TypeScript
Apply Now
Facet

Facet

Facet provides unbiased, personalized, and affordable financial planning services for every facet of life. Their certified financial planners offer advice on financial planning, retirement planning, investing, and more. From starting a business to buyi...

Capital Markets
251-1K
$58M raised
View All Jobs 13

Description

  • Design and maintain infrastructure that powers AI features, including vector database management, model deployment pipelines, and secure integrations with LLM providers.
  • Build and evolve internal platforms with a focus on self-service, automation, and reducing cognitive load for internal teams.
  • Develop and secure scalable serverless and event-driven systems in a 100% cloud-native environment.
  • Implement automated security guardrails within CI/CD pipelines and Infrastructure-as-Code workflows.
  • Lead identity and IAM architecture to enforce least-privilege access across systems.
  • Build automated compliance checks into Terraform-based infrastructure processes.
  • Develop and enforce guardrails for the internal AI platform, including data privacy, cost controls, and ethical usage monitoring.
  • Automate environment provisioning, incident response, and performance monitoring to support a manual-is-a-bug culture.

Requirements

  • 4-8 years of experience in a Platform, DevOps, or Site Reliability Engineering role.
  • Deep experience with AWS and/or GCP, with a strong focus on serverless architectures.
  • Expert-level proficiency with Terraform and a policy-as-code mindset.
  • Practical experience designing IAM architectures and implementing automated security scanning/compliance in CI/CD.
  • Proficiency in at least one modern language such as Python, Go, or TypeScript/Node.js for custom tooling and integrations.
  • Experience supporting production AI workflows, such as Pinecone, LangChain, or OpenAI API integrations, preferred.
  • Familiarity with modern AuthN/AuthZ protocols and providers such as Okta, Auth0, or AWS IAM Identity Center, preferred.
  • Experience building or maintaining high-scale event buses and asynchronous messaging systems, preferred.
  • Experience treating the platform as a product with a focus on improving Developer Experience (DX), preferred.
  • This role requires experience in a Kubernetes-free, serverless/FaaS environment.

Benefits

  • Competitive base salary of $160,000-$180,000 plus bonus.
  • Equity in a rapidly growing company.
  • Remote-first culture with the ability to work from anywhere in the U.S..
  • Flexible Paid Time Off (PTO).
  • Medical, dental, and vision coverage.
  • 401(k) match.
  • Disability coverage and paid parental leave.
  • Wellness reimbursement and education reimbursement programs.

Interested in this position?

Apply directly on the company website

Apply Now

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