Bretton AI

Software Engineer, Infrastructure

$168K–$213KFull-time · San Francisco, CA
✓ Verified live on the employer's own system · added 194 days ago
Save search
Senior · 8+ yrs exp

Requirements

Experience: 8+ years

Skills & tools

DevopsManagementSecurityEmbeddedTeam LeadershipCloud PlatformsRecordkeepingMachine Learning
Apply on company site ↗ See your fit → free

Full job description

- 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.

- 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.

- 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.

- 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.

More jobs at Bretton AI

Similar jobs near San Francisco, CA

Tell me when more Infrastructure Software Engineer, Energy Storage jobs post near San Francisco, CA We re-check every listing against the employer’s own board — no résumé needed.

Search Software Engineer, Infrastructure jobs near San Francisco, CA → Browse all live jobs

This posting was published by Bretton AI on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.