Software Engineer, Infrastructure
Bretton AI8 months ago
Base Salary
$168k - $213k/yr
Responsibilities
- Own and evolve 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 Datadog observability infrastructure, including dashboards, monitors, SLOs, and distributed tracing.
- Lead high-severity incident response and proactively model capacity for low-latency AI inference.
- Architect and automate secure VPCs, IAM policies, Kubernetes manifests, and private-cloud deployments using Infrastructure-as-Code.
- Maintain infrastructure controls supporting SOC 2 compliance.
- Lead enterprise customer rollout engagements and mentor mid-level engineers on infrastructure best practices.
Requirements
- 8+ years of experience in infrastructure engineering or DevOps at high-growth or hyperscale companies.
- Production experience managing Docker and Kubernetes clusters, including Helm and service mesh technologies.
- Enterprise-scale experience architecting and operating AWS, GCP, or Azure.
- Experience with observability platforms, preferably Datadog, including metrics, logs, APM, and distributed tracing.
- Strong Infrastructure-as-Code experience with Terraform, Helm, and Kustomize, along with progressive delivery, canary deployments, GitOps, and automated rollbacks.
- Experience leading outages, capacity events, and large-scale incident reviews.
- Strong programming skills in Python.
- Familiarity with TypeScript, SOC 2 or other compliance audits, private-cloud or on-premises deployments, startup infrastructure scaling, fintech or regulated industries, and AI/ML infrastructure are beneficial.
Benefits
- Comprehensive healthcare, 401k matching, commuter benefits, 15 days of PTO plus holidays, unlimited sick days, flexible leave options, and DoorDash and Uber home coverage for late work.
Tech Stack
Categories
About Bretton AI
Bretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton to run compliance, risk, fraud, and operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready. Bretton has pioneered AI use in financial services with its proprietary Trust Infrastructure — a system of model validation, governance and auditability guardrails that enables AI use in key regulated workflows. Learn more at bretton.com