Staff Platform Engineer: Architecting AI-Ready Infrastructure

AVP

Minneapolis (MN)

On-site

USD 150,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Alt. medicine coverage
Flexible PTO
Parental leave (16 weeks)
Paid holidays
401k program
Transportation perks
Education reimbursement
Paw-ternity leave

Job summary

Gravie is seeking a hands-on Staff Platform Engineer to shape the architecture and deliver AI-enabled capabilities across the organization. You will build paved paths, define target-state architecture, and own AWS foundations while partnering with Platform Engineering to elevate engineering outcomes.

The role emphasizes leading standards, multi-team collaboration, and practical implementation to ensure scalable, production-grade AI and distributed systems across Gravie’s products and services.

Qualifications

  • Hands-on Staff Platform Engineer role combining architectural direction and hands-on implementation.
  • Partner across Engineering, Product, Data, Security, and Infrastructure to drive platform changes.
  • Focus on AI-enabled capabilities, standards, and scalable paved paths for teams.

Responsibilities

  • Build paved paths with reference implementations, shared libraries, and templates for teams to adopt.
  • Define and publish target-state architecture with owners and dates.
  • Own AWS foundations and AI workloads, including multi-account structure and cost governance.
  • Drive standards adoption from documentation to pipelines across repositories and teams.
  • Lead cross-team collaboration and ensure alignment on technical direction.

Skills

Distributed systems
AWS
AI / Generative AI
Production engineering
React

Tools

Terraform
CDK
React
TypeScript

Job description

Gravie is seeking a hands-on Staff Platform Engineer to shape the architecture and deliver AI-enabled capabilities across the organization. You will build paved paths, define target-state architecture, and own AWS foundations while partnering with Platform Engineering to elevate engineering outcomes.

The role emphasizes leading standards, multi-team collaboration, and practical implementation to ensure scalable, production-grade AI and distributed systems across Gravie’s products and services.

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