F2 Engineering - Member of Technical Staff

F2 ENGINEER • MEMBER OF TECHNICAL STAFF ABOUT F2 F2 is the AI platform for private markets investors — purpose-built to transform how institutional teams underwrite, diligence, and deploy capital. Our AI converts messy, unstructured deal materials into investment-grade insights in minutes, helping private credit funds, commercial banks, and private equity firms make faster, more confident decisions. Backed by leading investors, including NFX and Y Combinator, we’re scaling a world-class product and engineering team to build the future of vertical AI for finance. We are scaling quickly across our offices in New York, San Francisco, and London. The Role: We are seeking a hands-on Infrastructure Tech Lead who thrives in building from 0‑1 and driving execution, directly contributing production-level systems while shaping our core technical foundation. You will collaborate closely with the founding team to architect, deploy, and scale the cloud infrastructure powering F2's AI-driven enterprise analytics platform. What you'll do: • Hands-on platform building. Architect and implement foundational cloud infrastructure from scratch: compute, networking, CI/CD, and observability. Actively writing infrastructure-as-code and shipping production systems, not just diagrams. • Own the infrastructure architecture. Define and execute the technical vision and multi-year roadmap for our AWS-based platform (ECS/Fargate, containerized Python and Node services), ensuring rapid iteration while scaling reliably with enterprise demand. • Run durable, AI-heavy workloads. Operate and scale our workflow orchestration layer (Temporal), streaming pipelines, vector search infrastructure, and high-throughput LLM inference paths; balancing latency, throughput, and cost. • Design for security and compliance. Build infrastructure that meets SOC 2 requirements from day one: multi-tenant isolation, secrets management, least-privilege IAM, audit logging, and encrypted data flows across storage, database, and AI providers. • Establish operational excellence. Set and uphold standards for IaC, deployment pipelines, incident response, SLOs, and on-call practices; mentor engineers to foster a culture of reliable, observable, cost-efficient systems. • Cross-functional collaboration. Partner with product, backend, frontend, and enterprise customers to translate requirements (data residency, uptime guarantees, deployment models_ into pragmatic infrastructure solutions. What you bring: • Hands-on technical leadership. 7+ years building and scaling mission-critical cloud infrastructure on AWS and/or GCP, with demonstrated experience architecting platforms from the ground up. • Deep container and orchestration expertise. Production experience with ECS/Fargate, Kubernetes, or equivalent: including service networking, autoscaling, zero-downtime deploys, and multi-environment release strategies. • Infrastructure-as-code fluency. Strong command of Terraform, Pulumi, or CloudFormation, plus CI/CD pipeline design (GitHub Actions or similar) and GitOps workflows. • Data and AI infrastructure experience. Familiarity operating Postgres at scale (RDS, Supabase, or self-managed), Redis, message/workflow systems (Temporal, SQS, Kafka), and ideally vector databases or LLM serving infrastructure. • Security-first mindset. Practical experience with SOC 2 (or similar) compliance programs, IAM design, VPC architecture, secrets management, and multi-tenant data isolation. • Execution-driven mindset. You thrive in environments where you own systems end-to-end, iterate rapidly, and deliver production-ready solutions; and you measure success in uptime, latency, and dollars saved. • Passionate builder who enjoys solving complex distributed-systems challenges and iterating toward clear, impactful goals. Location: San Francisco Employment Type: Full time Location Type: Hybrid Department: Engineering, Product, Design (EPD) Compensation: $200K – $300K • Offers Equity The total rewards package at F2 includes base salary, equity (stock options), and benefits.