F2 AI

Staff Software Engineer, Infrastructure

F2 AI · San Francisco, CA
San Francisco, CA $200K–$300K Posted 2026-06-10
Salary
$200K–$300K
Type
Full-time
Experience
7+ yr

F2 STAFF SOFTWARE ENGINEER, INFRASTRUCTURE

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.

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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.
AWSPythonLLMGCPKubernetesTerraform
$110K — 10th pctl $265K — 90th pctl
This role’s midpoint $250K vs. market median $185K for Engineering roles
+35%
above median
Based on 14,000+ Engineering roles with disclosed salary ranges tracked on NewJob.
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