Senior Backend Architect — Scalable, Real-Time Systems

Praxis, Inc.; San Francisco (CA); Sur place; USD 150 000 - 190 000; Plein temps

Résumé du poste

Praxis, Inc. is building Known’s backend infrastructure from the ground up in San Francisco. You will architect scalable services, streaming workloads, and real-time chat/voice pipelines while ensuring reliability and developer velocity.

As an infrastructure architect, you’ll own key decisions for data pipelines, payments integration, and scalable architecture, partnering with AI/ML teams to enable rapid product iteration and growth from thousands to millions of users.

Qualifications

• 4–6 years building production backend systems, ideally in consumer products, high-traffic apps, or startups.
• Strong proficiency in TypeScript and Node.js with async patterns, performance optimization, and error handling.
• Expert-level knowledge of Postgres — complex queries, transactions, indexing, pooling, and tuning.
• Experience designing and scaling RESTful APIs with rate limiting, auth, caching, and versioning.
• Hands-on experience with cloud platforms (AWS, GCP) including compute, storage, databases, and networking.
• Familiarity with containerization and orchestration (Docker, Kubernetes) and infrastructure-as-code tools.
• Experience with WebSockets and WebRTC for real-time systems.
• Strong understanding of observability — logging, metrics, tracing, alerting.
• Security, data privacy, and compliance as first-class concerns.

Responsabilités

• Design and build scalable backend services in Node.js/TypeScript, including RESTful APIs, background jobs, and data pipelines for real-time and batch workloads.
• Architect and optimize Postgres databases, including schema design, queries, indexing, and ensuring data integrity at scale.
• Implement real-time infrastructure using WebSockets for chat and WebRTC for audio/video with low latency.
• Integrate and manage third-party services (e.g., OpenAI/Anthropic LLMs, payment providers, SMS/push, CDNs) with robust error handling.
• Collaborate with AI/ML engineers to build APIs and data pipelines for model predictions and training data collection.
• Own infrastructure, deployment, monitoring, CI/CD, and cost optimization for reliability at scale.
• Design for performance and scale with caching strategies to support 10x growth and fast API responses.

Connaissances

TypeScript

Node.js

Postgres

RESTful APIs

Cloud platforms

Docker

Kubernetes

WebSockets

WebRTC

Observability

Security & compliance

Outils

Redis

AWS

GCP

Description du poste

Praxis, Inc. is building Known’s backend infrastructure from the ground up in San Francisco. You will architect scalable services, streaming workloads, and real-time chat/voice pipelines while ensuring reliability and developer velocity.

As an infrastructure architect, you’ll own key decisions for data pipelines, payments integration, and scalable architecture, partnering with AI/ML teams to enable rapid product iteration and growth from thousands to millions of users.