Engineering Talent Pool
Primary stack
Job description
About the Position
Engineering Talent Pool
We are looking for passionate and skilled engineers to join our Engineering Talent Pool at Primer, located in San Francisco, CA. Our team is dedicated to building the operating system for real schools, focusing on various technical disciplines.
Location
- City: San Francisco
- Country: United States
- Remote: No
Employment Type
- Type: Full-time
Department
- Department: Engineering
About Primer
Primer is a growing network of K–8 schools restoring the timeless foundations of American education. Inspired by the original teaching primers that shaped a nation of readers, thinkers, and builders, our schools begin with what has always worked, and build for what lies ahead. Close-knit learning environments. Skilled educators. A culture that takes kids seriously as learners and leaders.
Primers shaped the first 200 years of American children. Primer will ready them for the next.
Responsibilities
We’re always looking to meet exceptional people. Our work spans several technical disciplines. A non-exhaustive sample:
-
Distributed Systems & Data Infrastructure
- High-throughput GraphQL services
- Low-latency event pipelines
- Schema design for real-time classroom operations
- Transactional integrity across multi-tenant school networks
-
Client Systems & Interaction Engineering
- Complex TypeScript/React architectures
- High-frequency UI state updates
- Deterministic rendering under poor network conditions
- Resilient offline behavior
- Design-system engineering for high-context educational workflows
-
Networking, Infrastructure & Reliability
- Dockerized k8s service graph
- CI/CD pipelines that ship daily into dozens of live campuses
- Observability at scale
- Automated failover
- Network shaping for unreliable school WiFi
- Performance engineering across heterogeneous hardware
-
Realtime Media & Classroom Presence
- WebRTC transports
- Adaptive bitrate + packet recovery strategies
- Custom SFU optimizations for classrooms
- Audio/video error correction
- Telemetry-driven session stability
- Real-time presence models for synchronous instruction
-
Learning Systems, Data Science & ML
- End-to-end ETL
- Feature engineering from student behavior signals
- Reading/math proficiency modeling
- Personalization engines
- Automated teacher/parent narrative generation
- Continuous feedback loops driven by real learner data
Requirements
- Experience: >5 years
- Education: Bachelor's or Master's degree
- Skills:
- GraphQL
- TypeScript
- React
- Docker
- Kubernetes
- WebRTC
- ETL
- Feature Engineering
- ML
Nice to Have
- No secondary skills mentioned
We Offer
- Mission-first company: We believe our mission is the highest-leverage way we can create positive change. In service of that, we keep work centered on mission execution and avoid social or political activism at work that’s unrelated to the mission.
If that energizes you, we’d love to see you apply.
About the Company
Primer is an end-to-end engineering organization building the operating system for real schools. Our work spans several technical disciplines. A non-exhaustive sample:
-
Distributed Systems & Data Infrastructure
- High-throughput GraphQL services
- Low-latency event pipelines
- Schema design for real-time classroom operations
- Transactional integrity across multi-tenant school networks
-
Client Systems & Interaction Engineering
- Complex TypeScript/React architectures
- High-frequency UI state updates
- Deterministic rendering under poor network conditions
- Resilient offline behavior
- Design-system engineering for high-context educational workflows
-
Networking, Infrastructure & Reliability
- Dockerized k8s service graph
- CI/CD pipelines that ship daily into dozens of live campuses
- Observability at scale
- Automated failover
- Network shaping for unreliable school WiFi
- Performance engineering across heterogeneous hardware
-
Realtime Media & Classroom Presence
- WebRTC transports
- Adaptive bitrate + packet recovery strategies
- Custom SFU optimizations for classrooms
- Audio/video error correction
- Telemetry-driven session stability
- Real-time presence models for synchronous instruction
-
Learning Systems, Data Science & ML
- End-to-end ETL
- Feature engineering from student behavior signals
- Reading/math proficiency modeling
- Personalization engines
- Automated teacher/parent narrative generation
- Continuous feedback loops driven by real learner data
© Primer. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
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