Software Engineer, Infrastructure

About the Company

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.

Responsibilities

• Own and evolve Kubernetes infrastructure, including cluster management, service mesh, and container security
• Design and implement progressive delivery pipelines with canary deployments and automated rollbacks
• Build and maintain observability infrastructure in Datadog, including dashboards, monitors, and SLOs
• Drive incident response for high-severity outages and model capacity needs for AI inference
• Architect and automate secure infrastructure using Infrastructure-as-Code for VPCs, IAM, and Kubernetes
• Maintain infrastructure controls supporting SOC 2 compliance
• Lead customer engagements for enterprise rollouts and mentor mid-level engineers

Requirements

• 8+ years in infrastructure engineering or DevOps at high-growth or hyperscale companies
• Experience with Docker and Kubernetes (production cluster management, Helm, service mesh)
• Proven track record architecting and operating AWS, GCP, or Azure at enterprise scale
• Experience with observability platforms, preferably Datadog
• Strong background in Infrastructure-as-Code (Terraform, Helm, Kustomize)
• Experience with safe deployment practices (GitOps, canary deployments, automated rollbacks)
• Strong programming skills in Python

Preferred Qualifications

• Familiarity with TypeScript
• Involvement in SOC 2 or other compliance audit preparation
• Experience with private-cloud or on-premises deployments for regulated customers
• Experience at startups scaling infrastructure to enterprise level
• Background in fintech or highly regulated industries
• Experience with AI/ML infrastructure and model deployment at scale