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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and operating scalable cloud-native systems for AI workloads, ensuring production reliability and incident response. Proficient in managing SLOs, SLIs, and driving continuous reliability improvements across platforms.
Highest-signal resume keywords
Site Reliability Engineering (SRE)Cloud Platforms (AWS/GCP/Azure/OCI)KubernetesProgramming Languages (Go, Python, Java)Incident Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud-Native Systems DesignProduction ReliabilitySLO/SLA ManagementReliability AutomationObservability (Metrics, Logs, Tracing)Distributed SystemsGPU Cluster ManagementAI/ML Platform SupportIncident ResponseOn-Call Practices
Soft Skills
Strong Written CommunicationStrong Verbal Communication
Industry Keywords
AI ProductsData-Intensive PlatformsMulti-Region SystemsFast-Growing ProductsOperational Maturity
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaKubernetesPythonGo
About the role
Key responsibilities & impact- 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 through metrics, logs, and tracing, plus 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
What you’ll need- 5+ years in SRE, Infra, or Platform Engineering roles
- Strong experience with cloud platforms (AWS/GCP/Azure/OCI)
- Hands-on experience with Kubernetes and distributed systems
- Experience in on-call rotation and incident management
- Proficiency in at least one programming language (Go, Python, Java)
- Experience supporting AI/ML or data-intensive platforms preferred
- Experience of GPU cluster management preferred
- Knowledge of SLO/SLA frameworks preferred
- Experience in fast-growing or global products preferred
- Exposure to multi-region systems preferred
- Strong written and verbal communication preferred
Benefits
Comp & perks- Employee Stock Ownership Plan (ESOP)
- Top-tier medical, dental, and vision insurance for employees and dependents, supported by a generous 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
- High-quality office snacks, drinks, and equipment
- Access to AI tools including Cursor, GPT models, Gemini, Claude, and other frontier AI systems
- Choice of top-spec laptops
- High-performance workstation setups
- Cutting-edge Plaud devices for all new hires
- Annual company offsites
- Team events
- Global exposure
- Continuous learning and fast career development
- Market-competitive compensation