Senior Backend Engineer
HybridSan Francisco, California, United States
Job Summary
Design, build, and optimize backend services to support real-time AI and automation workloads, architecting distributed systems with instrumentation that scale reliably. Improve system performance of streaming data, asynchronous event-driven communications, and resilient microservices while laying foundations for high-quality distributed services at the logic, network, and database layers. Collaborate with frontend, product, and DevOps teams to ensure seamless integration and coordinate across the organization to manage multiple tasks in a fast-paced environment. This role requires 5+ years of backend development experience with Node.js, TypeScript, Python, PostgreSQL, and MongoDB, focusing on data systems and high-traffic applications. The position is remote-first with a competitive salary and stock participation.
Required Qualifications
- 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
- 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.
Desired Qualifications
- Spanish and/or Portuguese
- DevOps & Tools: Git, CI/CD processes; familiarity with Datadog, Digital Ocean, and/or GCP is a plus.
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