Senior SRE Engineer - San Francisco

Plaud
San Francisco, CA
Hybrid

Who this role is best for

Best suited to experienced SRE professionals with cloud and AI infrastructure expertise working in fast-growing tech environments.

Best fit for

  • Experienced SRE professionals with a track record in cloud-native AI systems
    — “Design and operate highly available, scalable cloud-native systems for AI workloads”
  • Candidates who have led incident response and reliability improvements in production environments
    — “Own production reliability, incident response, and on-call practices”
  • Individuals with a background in defining and managing SLOs and SLIs for complex systems
    — “Define and manage SLOs, SLIs, and error budgets with engineering teams”
  • Candidates who can thrive in a hybrid work model with regular in-office days
    — “hybrid work model with a minimum of three in-office days per week”

Things to consider

  • On-call rotation is a core requirement, not optional
    — “Experience in on-call rotation and incident management”

How to stand out

  • Highlight experience in building observability and reliability automation for AI workloads
    — “Build observability (metrics, logs, tracing) and reliability automation”
  • Emphasize leadership in incident response and reliability design
    — “Lead incident response and continuous reliability improvement”
  • Demonstrate hands-on experience with Kubernetes and distributed systems in production
    — “Hands-on with Kubernetes and distributed systems”
  • Demonstrate proficiency in at least one programming language for infrastructure automation
    — “Proficient in at least one programming language (Go, Python, Java)”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Reliability and performance of AI products at scale
  • Highly available, scalable cloud-native systems for AI workloads
  • Production reliability, incident response, and on-call practices
  • Observability and operational maturity
Typical background
5+ years in SRE, Infra, or Platform Engineering roles

Skills & requirements

Required

SRECloud PlatformsKubernetesDistributed SystemsObservabilityIncident ResponseOn-call RotationProgramming Language (go, Python, Java)

Preferred

Ai/ml Platform SupportGPU Cluster ManagementSlo/sla FrameworksFast-growing Or Global ProductsMulti-region Systems

Stack & domain

Cloud Platforms (aws/gcp/azure/oci)KubernetesDistributed SystemsOn-call Rotation And Incident ManagementProgramming Language (go, Python, Java)AIInfrastructure Engineering

About the role

Original posting from Plaud via Ashby

About Plaud Inc.

Plaud is building the real-world AI interface for professionals to amplify intelligence, elevate productivity and performance, loved by over 3,000,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud captures, structures, and compounds the intelligence generated in conversations — so humans can think better, decide faster, and execute with clarity.

Plaud Inc. is a Delaware-incorporated, San Francisco-based company. With GDPR, SOC 2 Type II, HIPAA, and EN 18031 compliance, Plaud is committed to the highest standards of data security and privacy protection.

To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram https://www.instagram.com/plaud_official/, X https://twitter.com/PLAUDAI, Facebook https://www.facebook.com/plaudai, LinkedIn https://www.linkedin.com/company/plaudai/, and YouTube https://www.youtube.com/@PLAUDAI.

Why You Should Join Us

Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.

  • Plaud is a bootstrapped, skyrocketing, profitable company with a $300M revenue run rate achieved in just three years.
  • Define the next-gen paradigm for human-AI interaction.
  • Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion.
  • Work with passionate teammates who value innovation, collaboration, and customer success.
  • Grow your career in a culture that champions continuous learning and fast career development.
  • Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.

What you will do

  • Ensure reliability and performance of Plaud.ai http://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

Minimum Qualifications

  • 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

What we offer

  • Meaningful Ownership An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud’s long-term success.
  • High-Impact Environment Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity.
  • Comprehensive Health & Retirement Benefits Top-tier medical, dental, and vision insurance for employees and dependents, supported by a generous employer subsidy, plus a 401(k) retirement plan with company matching for full-time employees.
  • Time Off & Workplace Benefits Unlimited PTO, plus 13 paid holidays, 12 weeks of fully paid parental leave for all parents, a hybrid work model with a minimum of three in-office days per week, and access to high-quality office snacks, drinks, and equipment.
  • Cutting-Edge AI Tools for Productivity Access to best-in-class AI tools, including Cursor, GPT models, Gemini, Claude, and other frontier AI systems to maximize engineering and execution efficiency.
  • Best-in-Class Equipment Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires.
  • Team & Culture Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity.

Source: Plaud careers (Ashby)

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