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# Senior Backend Engineer

- **Company:** Hubs, Inc
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Cyber Security, Databases, Continuous Integration, Data Systems, Software Debugging, DevOps, Distributed Systems, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), PostgreSQL, MongoDB, Node.Js, Performance Tuning, Query Optimization, Data Streaming, TypeScript, Web Applications, WebSocket, Datadog, Large Language Models, Grafana, Backend, Git, Reactive Programming, Front End Software Development, NestJS, Restful APIs, Data Pipelines, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-backend-engineer-san-francisco-ca--b808147a-c917-4277-828c-82b8f98c4d4c

## About the Role

Hubs, Entrepreneurship, Artificial Intelligence (AI), Intelligence Agencies, User Interface/Experience (UI/UX), Technical Leadership, Automation, Leadership, Architectural Services, Distributed Computing, We're looking for a backend engineer who is both highly technical and pragmatic, excited to use AI tools to amplify their output and ship better products faster. You should bring:

 * Productization Experience: A track record of productizing software from early development through scale-out, including system scaling, security infrastructure, and monetization.
 * Collaboration & Ownership: Organized, responsible, and proactive - able to manage multiple tasks in a fast-paced environment, solve technical challenges independently, and coordinate across the team.
 * Critical Thinking & Communication: Strong problem-solving skills with clear written and spoken English for remote collaboration (Spanish and/or Portuguese are a plus).
 * Pragmatism: The judgment to know when to move fast and when to invest in long-term stability.
 * Backend & Architecture: Strong experience with Node.js and frameworks like Nest.js or Express, plus a solid grasp of distributed systems, scaling patterns, microservices, and cloud infrastructure.
 * APIs & Dataflows: Familiarity with streaming APIs, websockets, asynchronous architectures, and designing/maintaining RESTful APIs and event schemas.
 * AI familiarity: Experienced building tools and data pipelines using Python and AI APIs, with a strong understanding of when and how to apply different LLMs.
 * Databases: Hands-on expertise with both relational (Postgres) and document (MongoDB) databases, from schema design to indexes and query tuning, with an emphasis on scalability and performance., * Experience Level: 5+ years of backend development, focusing on data systems and high-traffic web applications.
 * Languages & Technologies: TypeScript, Node.js, Python.
 * Databases: PostgreSQL and MongoDB at scale.
 * Performance optimization: Experience using observability tools, debugging, and performing root cause analysis.
 * Data Pipelines: Experience building scalable asynchronous pipelines, especially for language/AI data.
 * DevOps & Tools: Git, CI/CD processes; familiarity with Datadog, Digital Ocean, and/or GCP is a plus.

If you're excited about building a product with potential for tremendous impact at the leading edge of AI-first productivity and collaboration, we'd love to hear from you!

## Description

We're looking for a Senior Backend Engineer to lead and enhance the backbone of our AI automation platform. This is a hands-on role with real architectural responsibility - ideal for someone with technical leadership experience who has taken a product from early stage to scale and knows how to balance speed with long-term stability. The work centers on building an autonomous reactive programming architecture that makes AI automation feel seamless and alive, while also designing the distributed systems and scalable infrastructure needed to support widespread adoption.
Responsibilities

 * Design, build, and optimize backend services to support real-time AI and automation workloads.
 * Architect distributed systems with instrumentation that scale reliably and efficiently.
 * Improve system performance of streaming data, asynchronous event-driven communications, and resilient microservices.
 * Collaborate with frontend, product and devops teams to ensure seamless integration.
 * Architect for scale, performance and efficiency at the logic, network and database layers.
 * Lay foundations for high quality distributed services that can evolve and grow as we scale out.