SRE Engineer - San Francisco

Plaud

San Francisco (CA)

Hybrid

USD 180,000 - 230,000

Full time

14 days+

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Benefits offered by this job

ESOP

Hybrid work model

Health benefits

Job summary

Plaud Inc. in San Francisco, CA, is seeking an experienced Site Reliability/Platform Engineer to ensure reliability and performance of Plaud.ai at scale.

You will design and operate cloud-native systems for AI workloads, own production reliability, incident response, and drive observability improvements. The role emphasizes on-call rotation, defining SLOs/SLIs, collaborating with product and engineering teams, and advancing multi-region, high-availability infrastructure in a fast-growing,

Qualifications

5+ years in SRE, infra, or platform engineering.
Experience with cloud platforms (AWS/GCP/Azure/OCI).
Kubernetes & distributed systems experience.
On-call rotation and incident management experience.
Programming in Go, Python, or 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 engineering

Cloud platforms

Kubernetes

On-call / incident management

Go / Python / Java

Job description

About Plaud Inc.

Plaud is building the real-world AI interface for professionals to amplify intelligence, elevate productivity and performance, loved by over 2,000,000 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 pushing the boundary of human–AI intelligence through a hardware–software combination. With full ISO 27001, ISO 27701, SOC 2, GDPR, EN18031, and HIPAA compliances, 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

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.