Software Engineer, Infrastructure

Bretton AI•San Francisco, CA

2d•Onsite

About The Position

Bretton AI is the leading AI agent platform for financial services. Companies like Robinhood, Mercury, and Gusto trust us to automate mission-critical work, starting with anti-money laundering (AML) and counter-terrorist financing investigations. 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 SpaceX, Google, Netflix, Stripe, Plaid, 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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.