Pear VC
About the Role
You’ll be a core technical founder building the backend systems and infrastructure that power
Known
— from the APIs that will serve millions of requests, to the real-time communication pipelines that enable voice and text conversations, to the data architecture that supports intelligent matching at scale. You’ll design systems that are reliable, performant, and ready to grow with our user base.
You’ll work closely with the founding team (AI/ML, fullstack, product, and design) to architect backend services that handle complex workflows — streaming LLM responses, batch matching jobs, payment processing, and real-time chat — while maintaining simplicity and developer velocity. This is a high-ownership role where you’ll make critical infrastructure decisions and set the technical foundation for Known’s growth.
Responsibilities
Design and build scalable backend services
in Node.js/TypeScript, including RESTful APIs, background job processing, and data pipelines that support both real-time and batch workloads.
Architect and optimize database systems
using Postgres — including schema design, query optimization, indexing strategies, and data integrity at scale.
Implement real-time communication infrastructure
using WebSockets for chat and WebRTC for audio/video, ensuring low latency and high reliability.
Integrate and manage third-party services
(OpenAI/Anthropic LLMs, Google/Apple Pay, reservation platforms, SMS/push notifications, CDNs) with robust error handling and monitoring.
Collaborate with AI/ML engineers
to build APIs and data pipelines that serve model predictions, handle training data collection, and support experimentation workflows.
Own infrastructure, deployment, and observability
— build CI/CD pipelines, implement monitoring and alerting, optimize cloud costs, and ensure system reliability as traffic scales.
Design for performance and scale
— implement caching strategies, optimize API response times, and architect systems that can handle 10x growth without rewrites.
Requirements
4–6 years building production backend systems, ideally in consumer products, high-traffic applications, or startups.
Strong proficiency in
TypeScript and Node.js
with deep understanding of async patterns, performance optimization, and error handling.
Expert-level knowledge of Postgres
— you’re comfortable with complex queries, transactions, indexing, connection pooling, and performance tuning.
Experience designing and scaling
RESTful APIs
with attention to rate limiting, authentication, caching, and versioning.
Hands-on experience with
cloud platforms
(AWS, GCP) including compute, storage, databases, and networking services.
Familiarity with
containerization and orchestration
(Docker, Kubernetes) and infrastructure-as-code tools.
Experience with
WebSockets and WebRTC
for real-time communication systems.
Strong understanding of
observability and monitoring
— logging, metrics, tracing, and alerting best practices.
You think about
security, data privacy, and compliance
as first-class concerns.
Example Projects
Build a high-throughput API layer that serves personalized match recommendations, user profiles, and compatibility scores with sub-100ms response times.
Design and implement a background job system for processing batch matching algorithms, sending notifications, and generating analytics reports.
Create WebSocket infrastructure for real-time messaging with presence indicators, typing notifications, and streaming LLM-powered conversation suggestions.
Architect WebRTC signaling and media server infrastructure to support voice/video chat between users and AI voice agents.
Build payment and reservation integration workflows with idempotency guarantees, webhook handling, and comprehensive error recovery.
Implement a robust caching layer (Redis) that reduces database load and improves API response times across the platform.
Design database schemas and migration strategies that support rapid product iteration while maintaining data consistency and performance.
Expand monitoring and observability infrastructure with distributed tracing, performance profiling, and automated alerting for system health.
Why This Role This is a chance to be the
infrastructure architect
of a consumer AI product from day one — to build backend systems that are elegant, scalable, and enable rapid product innovation. You’ll have the autonomy to make foundational technical decisions and the responsibility to ensure Known can grow from thousands to millions of users without missing a beat.
#J-18808-Ljbffr
Known
— from the APIs that will serve millions of requests, to the real-time communication pipelines that enable voice and text conversations, to the data architecture that supports intelligent matching at scale. You’ll design systems that are reliable, performant, and ready to grow with our user base.
You’ll work closely with the founding team (AI/ML, fullstack, product, and design) to architect backend services that handle complex workflows — streaming LLM responses, batch matching jobs, payment processing, and real-time chat — while maintaining simplicity and developer velocity. This is a high-ownership role where you’ll make critical infrastructure decisions and set the technical foundation for Known’s growth.
Responsibilities
Design and build scalable backend services
in Node.js/TypeScript, including RESTful APIs, background job processing, and data pipelines that support both real-time and batch workloads.
Architect and optimize database systems
using Postgres — including schema design, query optimization, indexing strategies, and data integrity at scale.
Implement real-time communication infrastructure
using WebSockets for chat and WebRTC for audio/video, ensuring low latency and high reliability.
Integrate and manage third-party services
(OpenAI/Anthropic LLMs, Google/Apple Pay, reservation platforms, SMS/push notifications, CDNs) with robust error handling and monitoring.
Collaborate with AI/ML engineers
to build APIs and data pipelines that serve model predictions, handle training data collection, and support experimentation workflows.
Own infrastructure, deployment, and observability
— build CI/CD pipelines, implement monitoring and alerting, optimize cloud costs, and ensure system reliability as traffic scales.
Design for performance and scale
— implement caching strategies, optimize API response times, and architect systems that can handle 10x growth without rewrites.
Requirements
4–6 years building production backend systems, ideally in consumer products, high-traffic applications, or startups.
Strong proficiency in
TypeScript and Node.js
with deep understanding of async patterns, performance optimization, and error handling.
Expert-level knowledge of Postgres
— you’re comfortable with complex queries, transactions, indexing, connection pooling, and performance tuning.
Experience designing and scaling
RESTful APIs
with attention to rate limiting, authentication, caching, and versioning.
Hands-on experience with
cloud platforms
(AWS, GCP) including compute, storage, databases, and networking services.
Familiarity with
containerization and orchestration
(Docker, Kubernetes) and infrastructure-as-code tools.
Experience with
WebSockets and WebRTC
for real-time communication systems.
Strong understanding of
observability and monitoring
— logging, metrics, tracing, and alerting best practices.
You think about
security, data privacy, and compliance
as first-class concerns.
Example Projects
Build a high-throughput API layer that serves personalized match recommendations, user profiles, and compatibility scores with sub-100ms response times.
Design and implement a background job system for processing batch matching algorithms, sending notifications, and generating analytics reports.
Create WebSocket infrastructure for real-time messaging with presence indicators, typing notifications, and streaming LLM-powered conversation suggestions.
Architect WebRTC signaling and media server infrastructure to support voice/video chat between users and AI voice agents.
Build payment and reservation integration workflows with idempotency guarantees, webhook handling, and comprehensive error recovery.
Implement a robust caching layer (Redis) that reduces database load and improves API response times across the platform.
Design database schemas and migration strategies that support rapid product iteration while maintaining data consistency and performance.
Expand monitoring and observability infrastructure with distributed tracing, performance profiling, and automated alerting for system health.
Why This Role This is a chance to be the
infrastructure architect
of a consumer AI product from day one — to build backend systems that are elegant, scalable, and enable rapid product innovation. You’ll have the autonomy to make foundational technical decisions and the responsibility to ensure Known can grow from thousands to millions of users without missing a beat.
#J-18808-Ljbffr