SRE & Platform Engineer — Automate Reliability & Releases

Getpeer; San Francisco, Northern (CA, KY); Hybrid; USD 190,000 - 240,000; Full time

Benefits offered by this job

Meaningful equity grant

Remote-first with quarterly San Francs

Health coverage

12 weeks parental leave

Home-office stipend

Unlimited PTO

Job summary

Peer AI is seeking a Senior / Staff Systems & Reliability Engineer to own the release path from merge to production and to establish a lightweight on-call and incident-response framework. The role focuses on improving observability, CI/CD, and AI-assisted incident analysis within a hybrid Bay Area environment.

The team builds an AI-native platform for pharma workflows, with on-sites in San Francisco and a remote-friendly culture. Equity and parental leave are offered.

Qualifications

• Strong software engineering fundamentals; you should be comfortable solving problems in application code as well as infrastructure.
• Experience operating distributed production systems and debugging failures across multiple services.
• Hands-on experience with AWS, containers, CI/CD, infrastructure automation, and modern observability tooling.
• Experience with production on-call, incident response, deployment strategy, and safe rollback or recovery patterns.
• A bias toward removing toil through software, with strong judgment about where process adds safety and where it simply adds bureaucracy.

Responsibilities

• Own and evolve the path from merge to production, including release coordination, deployment safety, rollback, and release-health signals.
• Establish and run a lightweight, effective engineering on-call and incident-response process, with clear ownership and useful escalation paths.
• Improve observability across services, asynchronous jobs, and complete customer workflows, and define reliability signals that reflect what users actually experience.
• Build and improve CI/CD, automated deployment checks, feature rollout controls, environment reliability, and developer tooling.
• Use AI to accelerate incident triage, log and trace analysis, root-cause investigation, runbook execution, and post-release analysis where it is genuinely useful.
• Lead incident reviews focused on systemic fixes, automate recurring remediation, and partner with Quality and Security as we move toward GxP with reproducible change control, release evidence, auditability, and production monitoring.

Skills

Strong software engineering

Distributed systems

On-call experience

Safety-conscious coding

Toil reduction via software

Tools

AWS

Containers

CI/CD

Infrastructure automation

Observability tooling

Job description

Peer AI is seeking a Senior / Staff Systems & Reliability Engineer to own the release path from merge to production and to establish a lightweight on-call and incident-response framework. The role focuses on improving observability, CI/CD, and AI-assisted incident analysis within a hybrid Bay Area environment.

The team builds an AI-native platform for pharma workflows, with on-sites in San Francisco and a remote-friendly culture. Equity and parental leave are offered.