F2 Logo

F2

Staff Software Engineer, Infrastructure

Posted 7 Days Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
200K-300K Annually
Senior level
Hybrid
San Francisco, CA, USA
200K-300K Annually
Senior level
Lead design and build of AWS-based infrastructure from 0→1, implement IaC and CI/CD, operate AI/data workloads (Temporal, streaming, vector search, LLM inference), ensure SOC 2–grade security and multi-tenant isolation, establish SLOs/incident response, and mentor engineers while partnering with product and customers.
The summary above was generated by AI
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.

--

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.

Similar Jobs

15 Days Ago
In-Office or Remote
2 Locations
188K-275K Annually
Senior level
188K-275K Annually
Senior level
Cloud • Information Technology • Machine Learning
The Staff Software Engineer will design and implement the backend architecture for Marimo's molab, focusing on high availability, low latency, and system stability, while utilizing CoreWeave's infrastructure.
Top Skills: Cloud InfrastructureDistributed SystemsGpu Resource AllocationKubernetesPython
Yesterday
In-Office
Mountain View, CA, USA
194K-352K Annually
Senior level
194K-352K Annually
Senior level
Artificial Intelligence • Automotive • Information Technology • Robotics
Design, build, and deploy ML infrastructure to optimize autonomy models using quantization, pruning, distillation, and model compilers. Maintain and profile GPU ML compilers/runtimes, collaborate with autonomy teams to validate and deploy optimized models to production vehicles.
Top Skills: C++CudaDistillationFtl (Model Compiler)Gpu RuntimesJaxKerasLarge Language ModelsMl CompilersModel CompressionPruningPythonPyTorchQuantizationTensorFlow
Yesterday
In-Office
San Francisco, CA, USA
320K-485K Annually
Senior level
320K-485K Annually
Senior level
Artificial Intelligence • Natural Language Processing • Generative AI
Build and own claude.ai's serving and agent execution platform: sandboxed compute for safe code execution, state management for long-running agent tasks, delegated auth, observability for agent actions, and partner with product and research teams to design and ship scalable, secure infrastructure.
Top Skills: AWSAzureContainersFirecrackerGCPGoGvisorPythonRustSandboxingV8 Isolates

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account