# Software Engineer, Infrastructure **Company:** [Bretton AI](https://zerogtalent.com/ai-companies/bretton-ai) **Location:** San Francisco, CA **Work mode:** On-site **Seniority:** Mid **Employment type:** Full Time **Salary:** USD 168K–213K/yr **Category:** Software **Listed:** 2026-03-24 [View and apply on Zero G Talent](https://zerogtalent.com/ai-jobs/bretton-ai/software-engineer-infrastructure-90602) ## Job description ### **About Bretton AI** 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 and counter-terrorism 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. ### **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._ ## Other open roles at Bretton AI - [Solutions Engineer](https://zerogtalent.com/ai-jobs/bretton-ai/solutions-engineer-94012) — Remote (US) - [Financial Crime Analyst](https://zerogtalent.com/ai-jobs/bretton-ai/financial-crime-analyst-94017) — Remote- United States / San Francisco, CA, US / Remote (US) - [Software Engineer, Product](https://zerogtalent.com/ai-jobs/bretton-ai/software-engineer-product-90600) — San Francisco, CA - [Forward Deployed Engineer](https://zerogtalent.com/ai-jobs/bretton-ai/forward-deployed-engineer-92361) — San Francisco, CA - [Enterprise Account Executive](https://zerogtalent.com/ai-jobs/bretton-ai/enterprise-account-executive-72400) — San Francisco, CA, US / New York, NY, US --- *Source: [Zero G Talent](https://zerogtalent.com), the job board for space, defense, AI, robotics and frontier-tech companies.*