1,803,642open jobs
104,044companies
271,979added this week
Browse all
Salary
$200k – $270k per year
Location
In office (San Francisco)
Seniority
Staff · 8+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jan 28, 2026. Bretton AI scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Bretton AI is an American software company that builds an AI platform for banks and other financial institutions, focused on financial crime compliance work such as anti-money-laundering investigations and customer due diligence. Its AI agents take on review tasks that compliance analysts would otherwise do by hand, and the company runs education sessions for bankers on adopting AI safely. The company is headquartered in San Francisco, California, United States.

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

  • $200k - $270k + equity

  • Onsite in our San Francisco office 4 days a week, with one flex day

  • We sponsor H-1B transfers; we're unable to sponsor new H-1B petitions or green cards

  • 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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,803,642 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Backend
Similar stack
Same company
San Francisco
$250k – $300k per year • In office • Full-Time • 5+ years exp • New York
DevOps
CI/CD
Apply
$93k – $210k per year • Equity • In office • 4+ years exp • Bachelor's Degree • Nashville
Go
Java
C#
C++
Databases
Oracle
Apply
Software Engineer 1 month ago
$116k – $125k per year • Remote (United States) • 3+ years exp • New York
JavaScript
PHP
TypeScript
Node JS
PHP
WordPress
Databases
MySQL
DynamoDB
Frontend
React.js
DevOps
Rest API
Terraform
AWS CDK
CI/CD
AWS
AWS Lambda
Amazon EventBridge
API Gateway
Apply
$110k – $140k per year • Hybrid • 3+ years exp • New York
Python
JavaScript
SQL
Node JS
Databases
Google BigQuery
Amazon Redshift
BigQuery
AI/ML
RAG
Machine Learning
Frontend
React.js
DevOps
GCP
CI/CD
AWS
Cybersecurity
GDPR
Analytics
Tableau
ETL/ELT
Looker
Apply
$110k – $205k per year • Hybrid • Bachelor's Degree • Huntsville
Python
C
C++
C
Embedded C
DevOps
Git
Linux
Management
Agile
Scrum
Apply
≈ $114k – $218k per year (Estimated) • In office • San Diego
Python
Java
SQL
C++
Python
Flask
FastAPI
Java
Spring Boot
Databases
PostgreSQL
Redis
RabbitMQ
Apache Kafka
DevOps
Helm
Podman
cert-manager
Git
Docker
Kubernetes
Bitbucket
GitHub
GitLab
Linux
Management
Confluence
Jira
Agile
Apply
≈ $115k – $219k per year (Estimated) • In office • Reston
Python
Java
SQL
C++
Python
Flask
FastAPI
Java
Spring Boot
Databases
PostgreSQL
Redis
RabbitMQ
Apache Kafka
DevOps
Helm
Podman
cert-manager
Git
Docker
Kubernetes
Bitbucket
GitHub
GitLab
Linux
Management
Confluence
Jira
Agile
Apply
≈ $75k – $215k per year (Estimated) • In office • Bad Friedrichshall
Python
JavaScript
SQL
Databases
Snowflake
Google BigQuery
BigQuery
Frontend
Vue.js
React.js
DevOps
CI/CD
Docker
Kubernetes
Apply
In office • 3+ years exp • Hyderabad
Java
Scala
Scala
Akka
Apache Pekko
Databases
MySQL
Oracle
Apache Kafka
DevOps
GCP
New Relic
CircleCI
Prometheus
Azure
CI/CD
Jenkins
AWS
Docker
Kubernetes
Grafana
Linux
Apply
≈ $48k – $96k per year (Estimated) • In office • Moscow
Python
Python
FastAPI
Databases
PostgreSQL
Apache Kafka
AI/ML
LangGraph
LangChain
AI Agents
PyTorch
LLM
RAG
LLM Guardrails
DevOps
gRPC
OpenShift
OpenTelemetry
CI/CD
Jenkins
Grafana
Apply
$168k – $213k per year • In office • Full-Time • 8+ years exp • San Francisco
Python
JavaScript
TypeScript
Node JS
AI/ML
AI Agents
LLM
Agentic Workflows
Frontend
React.js
Management
Stripe
Apply
$56k – $140k per year • Remote (United States) • Contractor • Bachelor's Degree
SQL
AI/ML
AI Agents
Management
Stripe
Apply
$150k – $200k per year • In office • Full-Time • 2+ years exp • San Francisco
Python
AI/ML
AI Agents
Management
Stripe
Apply
Solutions Engineer 1 year ago
$130k – $170k per year • Remote (United States) • Full-Time
AI/ML
AI Agents
Edge AI
Management
Stripe
Apply
$120k – $150k per year • Remote (United States) • Full-Time • San Francisco
AI/ML
AI Agents
Management
Stripe
Agile
Apply
$148k – $204k per year • Hybrid • 6+ years exp • Bellevue • Chicago • Toronto • San Francisco
Python
Go
Java
AI/ML
LLM
LLM Guardrails
Agentic Workflows
Machine Learning
DevOps
Rest API
GitHub Actions
GitLab CI
CI/CD
Jenkins
Git
Shift-Left
Cybersecurity
Okta
Shift-Left Security
Apply
≈ $134k – $248k per year (Estimated) • Equity • Remote (United States) • Full-Time • 10+ years exp • Master's Degree • San Francisco
AI/ML
TensorFlow
Triton
TorchServe
Feature Store
Machine Learning
DevOps
GCP
Platform Engineering
Apply
$131k – $145k per year • Equity • Hybrid • 4+ years exp • Bachelor's Degree • San Francisco
SQL
Apply
≈ $146k – $277k per year (Estimated) • In office • 5+ years exp • Houston • New York • San Francisco • Seattle
Python
AI/ML
Edge AI
DevOps
Prometheus
Grafana
Linux
BGP
OSPF
Apply
$86k – $107k per year • Hybrid • Full-Time • 2+ years exp • Bachelor's Degree • San Francisco • Washington
Cybersecurity
GDPR
Marketing
Salesforce
LinkedIn
SpaceTech
QGIS
Apply
See all jobs
This is one of many
1,803,642 more open roles from verified company boards, updated every day.