Senior Engineer (Application Pod)

Parspec•San Mateo, CA

10h•Hybrid

About The Position

Parspec is building the AI and digital infrastructure for the construction materials supply chain. Construction is a $15 trillion industry, yet the systems that underpin the buying and selling of materials remain fragmented, manual, and disconnected. Distributors and rep agencies rely on spreadsheets, PDFs, phone calls, and siloed tools to find new products and quote and manage projects; creating delays, errors, and margin erosion across the supply chain. Parspec is an AI-native platform that powers how construction products are discovered, bought, and sold. Trusted by more than 300 MEP distributors and rep agencies, Parspec helps project-driven businesses bid faster, win more work, and operate more profitably. By combining product intelligence, AI-powered workflows, and a connected ecosystem, Parspec is laying the foundation for a more intelligent, efficient construction supply chain. Founded in 2021 and headquartered in San Mateo, California, Parspec has raised $31 million from leading deep-tech and construction-technology investors. The Opportunity We are seeking a Senior Full-Stack Engineer to help build a new kind of engineering team—one where two people (an engineer and a PM-builder), powered by AI, can ship as fast as a traditional five-person team. As a Senior Engineer, you will own a product domain end-to-end, set the technical patterns your team follows, and be the person others look to when something is hard. You will work with Claude Code as your primary development tool — not as a curiosity, but as the way we work. This is a senior individual contributor role focused on ownership, velocity, and quality. The ideal candidate shapes how the domain is built, makes architecture calls, and raises the bar for everyone around them.

Requirements

5+ years of full-stack engineering experience. Django + React preferred — you know both sides deeply, not just tolerably.
Opinionated about quality — you have a point of view on testing, architecture, and code review, and you can back it up with experience.
Strong proficiency with modern AI coding tools (e.g., Claude Code, Copilot, Cursor) as a core part of your workflow.
Has owned something that matters — you’ve been the primary engineer on a product or system that users depended on. You’ve been on-call. You’ve debugged production.
Strong product mindset — you push back on specs, propose better solutions, and think about impact, not just implementation.
Experience writing comprehensive tests (unit, integration, E2E) as a standard part of development.
Strong code review skills and judgment in evaluating code quality and readiness for production.
Comfort working in small, high-ownership teams where you are responsible for end-to-end delivery.

Nice To Haves

You’ve been the most technical person in a small team and loved it.
You have strong opinions about testing AI-generated code at scale.
You’ve set architectural patterns that outlasted your time on a team.
Experience building products with Django + React/TypeScript in a unified codebase.
You can explain a complex system to a PM and a junior engineer in the same conversation.

Responsibilities

Own a product domain completely — backend (Django/DRF), frontend (React/TypeScript), database schema, APIs, performance, and reliability. No handoffs.
Make the hard calls. When the right answer isn’t obvious — tradeoffs between speed and correctness, schema design, API contracts — that’s your call to make and defend.
Build and ship features independently, collaborating closely with a PM-builder and designer to translate product ideas into production-ready features.
Contribute to shaping the architecture, domain boundaries, and technical direction of your product area.
Direct AI agents (Claude Code) at a high level — architect and decompose problems so AI can execute, then review and own the output.
Manage development across git worktrees and parallel agent sessions.
Review, refine, and validate AI-generated code to ensure correctness, performance, and maintainability.
Continuously improve development workflows using AI tools like Claude Code, CodeRabbit, and automated pipelines.
Ship daily — multiple deploys per day through an automated pipeline with AI code review, E2E tests, and quality gates. You’ll merge to main and see it in production the same day.
Write and maintain high-quality tests (unit, integration, and E2E using Playwright) as a core part of development.
Ensure all features meet quality standards through automated testing, AI-assisted code review, and manual validation.
Act as the quality gate for all code shipped, including contributions from AI, PM-builders, and designers.
Review AI-generated and cross-functional PRs, including contributions from PM-builders and junior engineers.
Collaborate with design to take features from Figma to production efficiently.
Work with product and design to challenge assumptions, refine requirements, and improve solutions.
Set the technical standard — your CLAUDE.md files, testing patterns, and code review bar become the template that newer engineers follow.
Define best practices for AI-assisted development, testing, and code review.
Establish patterns for domain ownership, system design, and engineering workflows as a senior engineer on the team.