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# SRE Engineer

- **Company:** PLAUD INC.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cyber Security, Data Security, Distributed Systems, Python (Programming Language), Reliability Engineering, Privacy Controls, Scripting, Graphics Processing Unit (GPU), System Availability, Kubernetes, Oracle Cloud Infrastructure, Multiplatform, Golang, Programming Languages
- **Published:** September 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sre-engineer-san-francisco-san-francisco-ca--f04c4af8-bbc2-432f-9112-b68ab2049ab4

## About the Role

* 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)

Preferred Qualifications

 * 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, Artificial Intelligence (AI), Automation, Budgeting, Career Development, Cloud Computing, Distributed Computing, Environmental Impact, GPU (Graphics Processing Unit), HIPAA (Health Insurance Portability and Accountability Act), High Availability, Human Intelligence (HUMINT), ISO (International Organization for Standardization), Incident Management, Incident Response, Information/Data Security (InfoSec), Java, Metrics, Multiplatform/Cross-Platform, On Call, Operational Improvement, Power Amplifier, Presentation/Verbal Skills, Privacy Controls, Pro Tools, Product Engineering, Programming Languages, Python Programming/Scripting Language, Reliability Engineering, Service Level Agreement (SLA), Writing Skills

## Description

* 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


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