---
title: 'Software Engineer, Infrastructure at Bretton AI'
canonical: 'https://feeny.ai/job/software-engineer-infrastructure-bretton-ai-san-francisco-w3m5g1h163hq'
type: 'job'
last_seen: '2026-09-12'
---

# Software Engineer, Infrastructure at Bretton AI

- **Company:** Bretton AI
- **Location:** San Francisco, CA
- **Compensation:** $168k–$213k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-01-28
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/brettonai/ddc15478-3f0e-48ff-8a97-a0cccb5f6fe1

## Job description

## About Bretton AI

Bretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton AI to run compliance, risk, fraud, and operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready. We’ve raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures and other top tier investors. We’re based in downtown San Francisco and our team comes from world-class organizations like Google, Netflix, Stripe, Plaid, Brex, and more.

## The Role

As a Senior Infrastructure Engineer, you will own the foundation that enables us to deploy secure, compliant AI systems at major financial institutions fighting financial crime at a massive scale. Our infrastructure is built on a modern, container-native architecture, leveraging Docker and Kubernetes to deliver consistent, auditable deployments across diverse customer environments. You will work directly with our largest customers—institutions serving over a billion people—to architect, automate, and harden our on-premises and cloud environments to meet the strictest regulatory and performance requirements, including SOC 2 compliance. Your work will be informed by real customer needs and will ship to everyone, so you must build enterprise-grade systems, work effectively with engineering and customer teams, understand financial services compliance, and adapt quickly.

## What You’ll Do

- Own and evolve our Kubernetes infrastructure, including cluster management, service mesh configuration, and container security policies.
- Design and implement progressive delivery pipelines with canary deployments, automated rollbacks, and deployment health validation.
- Build and maintain our observability infrastructure in Datadog, including dashboards, monitors, SLOs, and distributed tracing.
- Drive incident response for high-severity outages and proactively model capacity needs for low-latency AI inference.
- Architect and automate secure infrastructure using Infrastructure-as-Code for VPCs, IAM policies, Kubernetes manifests, and private cloud deployments.
- Maintain and improve the infrastructure controls that support our SOC 2 compliance posture.
- Lead customer engagements for enterprise rollouts and mentor mid-level engineers on infrastructure best practices.

## What We’re Looking For

Must-Haves:

- 8+ years in infrastructure engineering or DevOps at high-growth or hyperscale companies.
- Experience with Docker and Kubernetes, including production cluster management, Helm, and service mesh technologies.
- A proven track record of architecting and operating AWS (preferred), GCP, or Azure at an enterprise scale.
- Experience with observability platforms, preferably Datadog (metrics, logs, APM, distributed tracing).
- A strong background in Infrastructure-as-Code (Terraform, Helm, Kustomize) and safe deployment practices (progressive delivery, canary deployments, GitOps, automated rollbacks).
- "Battle scars" from leading outages, capacity events, and large-scale incident reviews.
- Strong programming skills in Python.

Bonus Points:

- Familiarity with TypeScript.
- Direct involvement in SOC 2 or other compliance audit preparation or remediation.
- Direct experience with private-cloud or on-premises deployments for regulated customers.
- Previous experience at startups scaling infrastructure from the early stages to the enterprise level.
- A background in fintech or building systems for highly regulated industries.
- Experience with AI/ML infrastructure and model deployment at scale.

## Why You’ll Love Working Here

- Build for Scale: You thrive at the intersection of technical leadership and customer impact, building systems that enable rapid development while maintaining the highest standards of security, compliance, and reliability.
- Infrastructure as a Product: You see infrastructure as a product for your engineering peers and understand the value of platform automation in enabling developer velocity.
- High-Impact Work: Your contributions will have a direct, measurable impact on how financial institutions adopt AI to fight crime.
- Mentorship and Leadership: You are comfortable balancing technical excellence with mentoring others and leading customer engagements.

## Compensation & Benefits

- $168k - $213k + equity
- Comprehensive healthcare, 401k matching, commuter benefits
- 15 days PTO + holidays, unlimited sick days
- Flexible leave options
- Working late? We’ve got you covered with DoorDash and an Uber home

Join us in building AI that protects the global financial system from financial crimes that fund terrorism, human trafficking, and other serious threats.

## About Bretton AI

## Company Overview
- **One-liner**: Bretton AI is an AI agent platform that automates financial crime compliance and back-office operations for regulated banks, replacing traditional BPOs with an audit-ready, AI-native workforce.
- **Entity Type**: Private (Series B – led by Sapphire Ventures, total funding $20.4M)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Will Lawrence

## Core Business
- **Primary industry/industries**: Financial technology (FinTech), AI-powered compliance and risk management, RegTech
- **Target customers**: B2B – OCC, FDIC, and Fed-regulated banks, global exchanges, payments platforms, and other financial institutions (Fortune 500)
- **Mission or purpose statement**: “Grow the bank. Not the back office.” – reimagining how money moves by creating an AI workforce that makes finance smarter, faster, and more secure.

## Products & Services
- **Bretton AI Platform**: An AI-native operations platform that includes a Workbench (case workspace for humans and agents), a Builder (natural-language agent creation), and Trust Infrastructure (model validation, governance, auditability). Supports 30+ skill templates and 180+ data sources.
- **Bretton Agents**: Pre-built and custom agents for AML, sanctions screening, KYC/EDD, fraud operations, document reviews, alert handling, customer reviews, due diligence, and case narratives.
- **Bretton AI Managed Services**: Full-service transition to agentic infrastructure, including Forward Deployed Engineers who continuously improve agent performance.
- **Integrations**: Native connectors for core banking systems, document management, and compliance workflows.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total Funding – $20.4M (Series B, 2026)
- **Notable Investors/Partners**: Sapphire Ventures (Series B lead), Greylock (Series A and Seed lead), Y Combinator (Summer 2023 batch, led by Tom Blomfield). Partnered with Kaufman Rossin for agentic compliance.
- **Growth Signals**:
  - Headcount grew from ~34 (early 2025) to 92 employees (mid-2026) – a 170%+ increase.
  - LinkedIn followers: 7,612 (+5.7% monthly).
  - Trusted by OCC, FDIC, and Fed-regulated institutions; deployed in 12 markets.
  - Reported metrics: 84,000 hours saved, 87% reduction in compliance review time, 200,000+ customer reviews conducted, 70% reduction in EDD queue completion time.
  - Active job postings: 9 open roles across engineering, sales, and operations.

## Competitive Advantages
- **Trust Infrastructure**: Proprietary system of model validation, continuous evaluations, and agent-as-a-judge QA that ensures every output is traced, cited, and regulator-aligned from day one.
- **Bank-grade compliance**: SOC 2 Type II, GDPR compliant, zero-data retention, virtual private clouds for enterprise deployment.
- **Defensibility**: Every decision logged with reasoning, evidence, and model version – production traces become eval sets, meeting OCC/FDIC/Fed expectations.
- **Forward Deployed Engineering**: Dedicated engineers who learn from each case, making agents sharper over time and uncapping capacity from headcount.

## Strategic Focus
- Replace traditional BPOs with AI-native operations across the financial back office.
- Expand into new markets, products, and customer segments without adding operational load.
- Deepen partnerships with regulated institutions and continue building out the agent ecosystem (templates, data sources, integrations).

## Why Work Here
- **Culture**: Values include “sense of urgency”, “drivers not passengers”, “truth over comfort”, “partnership”, and “know your customers” – a high-ownership, impact-driven environment.
- **Remote/Hybrid/Office**: HQ in San Francisco, CA; roles listed in San Francisco and New York, NY. Likely in-office/hybrid based on job descriptions (no explicit remote policy stated).
- **Notable Perks & Engineering Culture**:
  - Mission-critical work: directly shaping how regulated financial institutions use AI.
  - Backed by top-tier investors (Greylock, Sapphire, YC) with strong engineering pedigree.
  - Salary ranges for key roles (from YC listings): Forward Deployed Engineer $168K–$213K, Software Engineer (Product) $170K–$200K, Software Engineer (Infrastructure) $168K–$213K, Enterprise Account Executive $220K–$300K (OTE).
  - Opportunity to work with cutting-edge AI and financial compliance at scale.

## Sources
1. [bretton.com](https://www.bretton.com/)
2. [bretton.com/careers](https://www.bretton.com/careers)
3. [ycombinator.com/companies/bretton-ai](https://www.ycombinator.com/companies/bretton-ai)
4. [linkedin.com/company/bretton-ai](https://www.linkedin.com/company/bretton-ai)
5. [jobs.ashbyhq.com/brettonai](https://jobs.ashbyhq.com/brettonai)

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