Bretton AI

Software Engineer, Infrastructure

San Francisco, CA · Senior

Sponsorship not specified$168k-$213kDetected 174 days ago

AWSGCPAzureCloud PlatformsDockerKubernetesTerraformHelmDatadogDevOpsMachine LearningIncident ResponseComplianceLeadershipMentoring

About 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.
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.

Own and evolve our Kubernetes infrastructure, including cluster management, service mesh configuration, and container security policies.
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.
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.
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.

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.
Experience with observability platforms, preferably Datadog (metrics, logs, APM, distributed tracing).
Familiarity with TypeScript.
Experience with AI/ML infrastructure and model deployment at scale.

A proven track record of architecting and operating AWS (preferred), GCP, or Azure at an enterprise scale.

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.

$168k - $213k + equity
Comprehensive healthcare, 401k matching, commuter benefits
15 days PTO + holidays, unlimited sick days
Flexible leave options
Design and implement progressive delivery pipelines with canary deployments, automated rollbacks, and deployment health validation.

This listing is sourced directly from Bretton AI's careers page and normalized into a canonical job model.