SRE Engineer - San Francisco

Responsibilities

Ensure reliability and performance of Plaud.ai AI products at scale; Design and operate highly available, scalable cloud-native systems for AI workloads; Own production reliability, incident response, and on-call practices; Build observability (metrics, logs, tracing) and reliability automation; Define and manage SLOs, SLIs, and error budgets with engineering teams; Drive postmortems and reliability improvements across the platform; Lead incident response and continuous reliability improvement; Partner with product and engineering teams on reliability design; Improve observability and operational maturity

Requirements

5+ years in SRE, Infra, or Platform Engineering roles; Strong experience with cloud platforms (AWS/GCP/Azure/OCI); Hands-on with Kubernetes and distributed systems; Experience in on-call rotation and incident management; Proficient in at least one programming language (Go, Python, Java)

Nice to have

Experience supporting AI/ML or data-intensive platforms; Experience of GPU cluster management; Knowledge of SLO/SLA frameworks; Experience in fast-growing or global products; Exposure to multi-region systems; Strong written and verbal communication

Benefits

Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud’s long-term success; High-Impact Environment; Comprehensive Health & Retirement Benefits with top-tier medical, dental, and vision insurance and employer subsidy; 401(k) retirement plan with company matching for full-time employees; Unlimited PTO; 13 paid holidays; 12 weeks of fully paid parental leave for all parents; Hybrid work model with a minimum of three in-office days per week; Access to high-quality office snacks, drinks, and equipment; Access to best-in-class AI tools including Cursor, GPT models, Gemini, Claude; Choice of top-spec laptops, high-performance workstation setups, and Plaud devices; Annual company offsites, team events