Staff Engineer

Plaud

. Rotate across Plaud's product, platform and infrastructure teams based on business needs .

Posted 11/10/2026full-timeSan Francisco • California • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates deep expertise in software engineering with a focus on backend distributed systems, cloud-native technologies, and AI-assisted development. Proven ability to lead cross-team technical designs and mentor engineers while driving improvements in CI/CD processes.

Highest-signal resume keywords

10+ Years Software Engineering ExperienceDeep Expertise In Backend Distributed SystemsStrong In Go Or PythonCloud-Native Experience With AWS/GCP And KubernetesExperience Shipping LLM Features In Production

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend Distributed SystemsData PipelinesMachine LearningGo ProgrammingPython ProgrammingIOS DevelopmentAndroid DevelopmentReact DevelopmentElectron DevelopmentAI-Assisted Development

Soft Skills

Excellent Written CommunicationLow EgoHigh Ownership

Tools & Technologies

AWSGCPKubernetesCI/CDAI Tools

Industry Keywords

Technical DesignsShared APIsData ContractsProduct-Platform HandoffsMigrationsObservabilityRunbooksCode ReviewLatency ManagementCost Management

Tech Stack

Tools & technologies

AndroidAWSCloudDistributed SystemsElectronGoogle Cloud PlatformiOSKubernetesPythonReactGo

About the role

Key responsibilities & impact

Rotate across Plaud's product, platform and infrastructure teams based on business needs
Work with the team facing the highest-leverage engineering problem
Solve stalled migrations, reliability or on-call problems, slow CI pipelines, and AI quality gaps
Design, build, review and ship production code
Lead cross-team technical designs, shared APIs, data contracts and product-platform handoffs
Improve testing, observability, runbooks, code review and evals in CI/CD
Build an end-to-end understanding from device and capture pipeline through transcription, AI notes, AI agent features and underlying services
Guide architecture decisions across the organization with Gene and engineering leads
Mentor senior engineers in the US and Asia
Help grow the next generation of tech leads
Drive AI-native engineering practices and demonstrate AI-assisted development

Requirements

What you’ll need

10+ years of software engineering experience, including 3+ years at Staff level or equivalent scope
Deep expertise in more than one area, such as backend distributed systems, mobile or client, data pipelines, or ML/LLM systems
Ability to ramp up quickly on unfamiliar code
Proven track record leading technical work across teams, with design docs and migrations that other engineers adopted
Strong in Go or Python
At least one client stack: iOS, Android, React or Electron
Cloud-native experience with AWS/GCP and Kubernetes
Experience shipping LLM features in production, including retrieval, prompt pipelines, evals, and managing latency and cost
Excellent written communication and comfort working across time zones and cultures
Low ego and high ownership
Routinely uses AI tools in daily work and can demo usage from the last two weeks during the interview

Benefits

Comp & perks

Employee Stock Ownership Plan (ESOP)
Access to best-in-class AI tools, including Gemini, Claude Code, 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
Fast-moving, product-driven work environment
Global exposure
Continuous learning and fast career development
Market-competitive compensation