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Software Engineer, Infrastructure

Bretton AI

Company websitebretton.com (Bretton AI, opens in new tab)

Base salary $200K  to $270K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since

About this job

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.

Source: Bretton AI on Ashby · View original posting (opens in new tab)

This range next to 1 other live Bretton AI role with the nearest advertised base floor
  • This listingSoftware Engineer, Infrastructure$200K  to $270K

  • Solutions Engineer$130K  to $170K

Chart as a table
This range next to 1 other live Bretton AI role with the nearest advertised base floor
RolePublished base
Software Engineer, Infrastructure (this listing)$200K - $270K
Solutions Engineer$130K - $170K

Same $100K to $400K scale as every card. All Bretton AI roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-01-28
Where this pay comes from

Location as the employer wrote it: San Francisco, CA

USD 200,000 – 270,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.