Software Engineer, Infrastructure

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 (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. 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 cont