Forward Deployed Infrastructure Engineer (FDIE)
About The Position
The company is building the infrastructure layer that transforms complex, unstructured documents into structured data powering modern AI applications. Its platform ingests PDFs, spreadsheets, images, and other enterprise documents, converting them into highly accurate structured outputs used by large language models and AI workflows. Hundreds of companies—from AI-native startups to Fortune 10 enterprises—rely on the platform as the document ingestion layer powering mission-critical AI systems. Backed by over $100M from Andreessen Horowitz, Benchmark, and First Round Capital, the company has become one of the fastest-growing AI infrastructure startups, growing revenue 8x year-over-year while rapidly expanding its engineering organization. As a Forward Deployed Infrastructure Engineer, you'll own end-to-end deployment of the platform into enterprise customer environments spanning cloud VPCs, hybrid deployments, and bare-metal infrastructure. You'll combine deep infrastructure engineering expertise with strong customer-facing technical leadership while helping define how enterprise AI infrastructure is deployed at scale. This is an exceptional opportunity to join a hypergrowth AI infrastructure company where infrastructure engineers operate with founder-level ownership while building deployment systems powering some of the world's largest AI organizations.
Requirements
- 3+ years of Infrastructure Engineering, Platform Engineering, DevOps, or Site Reliability Engineering experience
- Experience owning production infrastructure for cloud-native software platforms
- Experience working at VC-backed startups or fast-growing technology companies
- Experience deploying production infrastructure at scale
- Experience working directly with enterprise customers during technical deployments strongly preferred
- Strong startup ownership mentality with demonstrated engineering execution
- Experience operating Kubernetes-based production environments
- Experience building highly available cloud infrastructure
- Experience debugging complex production infrastructure issues
- Previous startup experience strongly preferred over exclusively large enterprise backgrounds
- Strong infrastructure engineering fundamentals
- Expert Kubernetes production experience
- Strong Terraform and Infrastructure-as-Code expertise
- Experience with AWS, GCP, or Azure production environments
- Strong Linux systems administration knowledge
- Deep networking fundamentals including DNS, VPCs, IAM, VPNs, load balancing, and security
- Experience with Docker, Helm, and container orchestration
- Experience deploying GPU infrastructure or AI infrastructure preferred
- Strong Python scripting or infrastructure automation experience
- Experience designing scalable infrastructure supporting enterprise production workloads
- Bachelor's degree in Computer Science, Engineering, or another technical discipline preferred
- Strong engineering background with demonstrated infrastructure expertise
- Top technical universities or exceptional engineering accomplishments strongly preferred
- Outstanding infrastructure troubleshooting ability
- Strong engineering ownership
- Excellent customer communication skills
- High execution mentality
- Comfortable operating under ambiguity
- Strong collaboration skills
- Startup mindset with high execution velocity
- Structured systems thinker
- Passion for infrastructure and AI platforms
- Continuous learner embracing modern cloud infrastructure technologies
Responsibilities
- Own end-to-end deployment of the platform into enterprise customer environments
- Design and implement infrastructure across cloud, hybrid, and on-premise environments
- Deploy Kubernetes-based AI infrastructure into customer-controlled environments
- Partner directly with customer platform, infrastructure, security, and engineering teams
- Debug complex Kubernetes, networking, IAM, cloud, and infrastructure issues in production
- Design scalable deployment architectures supporting enterprise AI workloads
- Build infrastructure automation that converts one-off deployments into repeatable deployment frameworks
- Improve monitoring, telemetry, deployment tooling, and operational reliability
- Design Infrastructure-as-Code solutions using Terraform and modern deployment tooling
- Deploy GPU-backed AI infrastructure supporting production machine learning workloads
- Collaborate closely with engineering, infrastructure, and product teams to improve deployment experience
- Help define best practices for enterprise AI infrastructure deployments as the company scales
Benefits
- Base Salary: $200,000 – $300,000
- Competitive Equity Package
- On-site work model (5 days/week in San Francisco)
- Opportunity to deploy AI infrastructure for Fortune 10 companies and leading AI startups
- Direct collaboration with infrastructure leadership and enterprise engineering teams
- Significant ownership across customer deployment architecture
- High-growth AI infrastructure company with exceptional career progression
- Backed by Andreessen Horowitz, Benchmark, and First Round Capital
- Opportunity to help define enterprise AI infrastructure deployments
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What This Job Offers
Job Type
Full-time
Career Level
Senior
