Bretton AI
Software Engineer, Infrastructure
$200K–$270K
San Francisco, CA · On-site · Full-time · Posted Jan 28, 2026
- Experience
- 8+ years in infrastructure engineering or DevOps.
- Visa sponsorship
- Sponsors H-1B transfers; unable to sponsor new H-1B petitions or green cards.
About the job
Own and improve secure, compliant infrastructure for deploying and operating AI systems at financial institutions across on-premises and cloud environments.
What you'll do
- Manage Kubernetes infrastructure, container security, service mesh configuration, and progressive delivery pipelines.
- Build observability and infrastructure-as-code systems; support incident response, capacity planning, and SOC 2 controls.
- Lead enterprise customer rollouts and mentor engineers on infrastructure practices.
What they ask for
- 8+ years in infrastructure engineering or DevOps at high-growth or hyperscale companies.
- Production experience with Docker and Kubernetes, including cluster management, Helm, and service mesh technologies.
- Enterprise-scale experience operating AWS, GCP, or Azure; experience with observability platforms.
- Strong Python programming skills and experience with Infrastructure-as-Code and safe deployment practices.
Nice to have
- Familiarity with TypeScript.
- Experience with SOC 2 or other compliance work, private-cloud or on-premises deployments, fintech, or AI/ML infrastructure.
Pay
$200k - $270k (base salary; currency not stated); $200K – $270K (currency not stated; compensation type not stated)
Tools
Docker, Kubernetes, Helm, AWS, GCP, Azure, Datadog, Python
AI focus
Infrastructure for secure AI systems, including capacity planning for low-latency AI inference; AI/ML infrastructure and model deployment at scale are bonus experience.
Model-written summary · the original posting is authoritative