AI Infrastructure Orchestration: Design and maintain the infrastructure required to power AI features, including vector database management, model deployment pipelines, and secure integration with LLM providers.
Platform Architecture: Build and evolve our Internal Platforms, focusing on self-service, automation, and reducing cognitive load for internal teams.
Serverless & Event-Driven Systems: Optimize and secure our 100% cloud-native environment, developing and deploying scalable serverless and event-driven architectures (AWS Lambda, Google Cloud Functions, EventBridge, Pub/Sub).
DevSecOps: Implement automated security guardrails within the CI/CD pipeline. You will lead the "Identity/IAM Architecture" to ensure least-privilege access and build automated compliance checks into our Infrastructure-as-Code (Terraform).
AI Guardrails: Develop and enforce technical guardrails for our internal AI platform to manage data privacy, cost controls, and ethical usage monitoring.
Reliability & Automation: Drive a "manual-is-a-bug" culture by automating environment provisioning, incident response, and performance monitoring.

Experience: 4-8 years of experience in a Platform, DevOps, or Site Reliability Engineering role.
Cloud Native: Deep experience with AWS and/or GCP, specifically focused on serverless architectures. (Note: We are a Kubernetes-free environment; expertise in Serverless/FaaS is essential).
Infrastructure-as-Code: Expert-level proficiency with Terraform and a "policy-as-code" mindset.
Security Focus: Practical experience designing IAM architectures and implementing automated security scanning/compliance in CI/CD.
Scripting & Logic: Proficiency in at least one modern language (Python, Go, or TypeScript/Node.js) to build custom tooling and integrations.
AI/ML Ops: Experience supporting production AI workflows (e.g., Pinecone, LangChain, OpenAI API integrations).
Identity Management: Familiarity with modern AuthN/AuthZ protocols and providers (e.g., Okta, Auth0, AWS IAM Identity Center).
Event-Driven Design: Experience building or maintaining high-scale event buses and asynchronous messaging systems.
Product Mindset: Experience treating "The Platform" as a product, with a focus on improving the Developer Experience (DX).

Competitive Compensation: $160,000
180,000 base salary + bonus
Ownership: Equity in a rapidly growing company on the path to becoming the "Next Great Financial Services Company".
Flexibility: Remote-first culture—work from anywhere in the U.S..
Time Off: Flexible Paid Time Off (PTO).
Comprehensive Benefits and Perks: Medical, dental, vision, 401(k) match, disability, paid parental leave, wellness reimbursement, and education reimbursement programs.

AI Platform Engineer – Operations

Key skills