Staff Platform and Reliability Engineer

Sinclair Talent Solutions; San Francisco (CA); On-site; USD 170,000 - 240,000; Full time

Job summary

Sinclair Talent Solutions’s client, a profitable venture-backed AI company, seeks a senior IC to own reliability and security for a production agentic AI platform. You will own SLOs, incident response, observability, disaster recovery, and secure AWS/Kubernetes environments, delivering SOC 2 and GLBA evidence while pushing uptime and speed with safety.

Strong hands-on Kubernetes on AWS and GitOps delivery, with TypeScript or Python coding, and a background in regulated environments is preferred.

Qualifications

• Bachelor’s degree in Computer Science.
• 5–10 years as an IC platform engineer or site reliability engineer.
• Owned infrastructure security in production (IAM, secrets, network policy, audit/compliance), ideally in a regulated environment.
• Deep production Kubernetes on AWS, including service mesh and GitOps-based delivery.
• Hands-on experience managing uptime, reliability, SLOs, and error budgets.
• Strong programming in TypeScript or Python.
• Daily, deep use of frontier AI tools (Claude, Cursor, etc.) in your workflow.

Responsibilities

• Own reliability and security for a production agentic AI platform held to a 99.99% uptime bar.
• Own SLOs, error budgets, incident response, observability, and disaster recovery.
• Get into the infrastructure and delivery pipeline early to make sure fixes ship the right way.
• Identify reliability and delivery gaps, present a plan directly to the CEO and CTO, and close them.
• Improve uptime and deployment speed without compromising security.
• Secure the AWS and Kubernetes platform and produce compliance evidence (SOC 2, NCUA/FFIEC, GLBA)

Skills

TypeScript or Python

SRE / IC platform engineering

Kubernetes on AWS

Observability & incident response

Security & compliance planning

Education

Bachelor’s degree in Computer Science

Tools

Kubernetes on AWS

GitOps-based delivery

Job description

Our client is a profitable, venture-backed AI company building agentic AI for community banks and credit unions across the US. Their platform powers voice, digital, and employee-assisted AI from a single AI brain, reaching millions of Americans. They’re scaling fast and need a senior IC to own the reliability and security layer behind it all.

Job Responsibilities

• Own reliability and security for a production agentic AI platform held to a 99.99% uptime bar
• Own SLOs, error budgets, incident response, observability, and disaster recovery
• Get into the infrastructure and delivery pipeline early to make sure fixes ship the right way
• Identify reliability and delivery gaps, present a plan directly to the CEO and CTO, and close them
• Improve uptime and deployment speed without compromising security
• Secure the AWS and Kubernetes platform and produce compliance evidence (SOC 2, NCUA/FFIEC, GLBA)

Qualifications

• Bachelor’s degree in Computer Science
• 5-10 years as an IC platform engineer or site reliability engineer
• Owned infrastructure security in production (IAM, secrets, network policy, audit/compliance), ideally in a regulated environment
• Deep production Kubernetes on AWS, including service mesh and GitOps-based delivery
• Hands-on experience managing uptime, reliability, SLOs, and error budgets
• Strong programming in TypeScript or Python
• Daily, deep use of frontier AI tools (Claude, Cursor, etc.) in your workflow

Nice to Have

• Early or growth-stage startup experience (Series A-D, founding engineer, 0-to-1)

Comfortable working on-site in San Francisco five days a week (Financial District)