neuroscale - Founding Staff Software Engineer • Python/FastAPI
Requirements
• Strong backend engineering experience with Python • Strong production experience with PostgreSQL and Redis • Hands-on experience with Celery and Temporal • Proven experience building robust REST APIs • Experience working with large-scale datasets • Experience deploying and managing backend systems on AWS • Hands-on experience with AWS services, containers, and deployment pipelines • Experience building, deploying, and maintaining production systems for B2B and/or B2C SaaS • Experience supporting integrations, data pipelines, and/or workflow automation • Prior experience operating as a Staff Engineer, Lead Engineer, Founding Engineer, or Architect • Experience working in startup-style environments with high ownership and mentoring responsibility • Strong systems thinking, sound backend architecture judgment, and the ability to move from idea to production • Ability and willingness to relocate to Northern VA/DC • Have built backend platforms that became the foundation for a growing product • Know how to balance speed, scale, reliability, and developer experience • Have strong instincts around designing for maintainability, observability, and performanceEnjoy owning ambiguous problems and turning them into simple, durable systems • Can mentor others while still being deeply hands-on • Are excited by AI-enabled software development and modern engineering workflows • Want to help shape both the codebase and the culture of an early-stage company • Experience building AI-enabled products or backend systems that support AI workflows • Experience with search-heavy, data-intensive, or workflow-centric products • Experience in recruiting tech, HR tech, SaaS platforms, or decision-support systems • Experience designing backend systems for multi-tenant SaaS environments • Experience improving developer productivity using Cursor, Claude Code, or similar AI coding tools • Experience with event-driven systems, job orchestration, and resilient distributed workflows • Experience helping scale an early-stage engineering team • Experience working directly with product and leadership in a founding-stage company
Responsibilities
• Design, build, and maintain robust backend systems that power Neuroscale AI’s core platform • Develop and scale REST APIs using Python and FastAPI • Build production-ready systems using PostgreSQL, Redis, OpenSearch, Celery, and Temporal • Architect and optimize systems that handle large-scale datasets and high-throughput backend workflows • Build, deploy, and maintain backend services on AWS • Own containerized deployments, CI/CD pipelines, and backend infrastructure reliability • Support integrations, data pipelines, workflow automation, and asynchronous processing systems • Help define backend architecture, engineering standards, observability, and performance practices • Work closely with product, AI, and frontend teams to deliver features that power B2B and B2C SaaS experiences • Mentor engineers and raise the bar on engineering quality, speed, and execution • Operate like an owner in a startup environment, balancing speed with sound engineering judgment • Contribute to AI-enabled engineering workflows and modern developer tooling, including tools such as Cursor and/or Claude Code
Benefits
• Join a tight-knit engineering team shipping fast and building with ambition • Work on products used by real-world recruiters, analysts, and decision-makers • Be part of a mission-driven company redefining how humans and AI collaborate • Competitive salary, meaningful early-stage equity, and flexible work arrangements • Zero bureaucracy, high trust, and a strong culture of ownership and technical excellence • Performance bonus: Quarterly bonuses tied to clear feature shipping targets • Equity: Meaningful early-stage equity (~0.1-0.75%) with a clear range shared during the process • Benefits: Medical, dental, vision, 14-days of PTO accrued annually • Learning: At least $2,000 per year for courses, events, books, and growth communities • Tools and setup: New macbook pro, monitor, and a monthly tools budget to run the stack you want • Flexibility: Flexible hours, in-person. • Growth path: Clear, fast-track path to an Engineering Lead as we scale the team • This role is ideally suited for candidates who are open to working closely with the team and are willing to relocate to Northern Virginia / Washington DC region. • EQUAL OPPORTUNITY
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