Senior SRE - AI Infra, Cloud & Observability

Plaud; Seattle (WA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

ESOP

Health & Retirement Benefits

Unlimited PTO

Hybrid work model

Office snacks

Job summary

Plaud is seeking a Senior SRE to ensure reliability of Plaud.ai at scale, designing and operating cloud-native systems for AI workloads. You will own production reliability, incident response, and on-call practices while building observability and automation with the engineering teams.

You should bring 5+ years in SRE/Infra, strong cloud experience, and Kubernetes know-how. This role offers a hybrid work model with generous benefits and career growth opportunities.

Qualifications

• 5+ years in SRE, Infra, or Platform Engineering.
• Experience with cloud platforms (AWS/GCP/Azure/OCI).
• Kubernetes and distributed systems experience.
• On-call rotation experience and incident response.
• Proficient in at least one programming language (Go, Python, Java).

Responsibilities

• Ensure reliability and performance of Plaud.ai’s 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.

Skills

SRE / Platform Eng

Cloud platforms experience

On-call & incident management

Programming: Go/Python/Java

Tools

Kubernetes

Job description

Plaud is seeking a Senior SRE to ensure reliability of Plaud.ai at scale, designing and operating cloud-native systems for AI workloads. You will own production reliability, incident response, and on-call practices while building observability and automation with the engineering teams.

You should bring 5+ years in SRE/Infra, strong cloud experience, and Kubernetes know-how. This role offers a hybrid work model with generous benefits and career growth opportunities.