Senior SRE Engineer - San Francisco

About Plaud Inc.

Plaud is building the world's most trusted AI work companion for professionals to elevate productivity and performance through note-taking solutions, loved by over 1,500,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud is building the next-generation intelligence infrastructure and interfaces to capture, extract, and utilize what you say, hear, see, and think.

Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With ISO 27001, ISO 27701, GDPR, SOC 2, 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, X, Facebook, LinkedIn, and YouTube

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 $250M 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’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

• 8+ years in SRE, Infra, or Platform Engineering roles

• Strong experience with cloud platforms (AWS/GCP/Azure)

• 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

• 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.