Sr. Full-Stack Engineer

Bounty Amount: $7,500-$15,000

Company Name: Revic

Role Type: Full-Time

Location: Hybrid — San Francisco, NYC, Vancouver

Salary / Hourly Rate: $100,000 - $200,000 per year

Benefits: Open to considering relocation for the right candidate but really prefer local candidates,Candidates should already be based in US

Role Information

Role Overview: N/A

Responsibilities: Build product surfaces: Ship React/TypeScript web UI (apps, chat, integrations) with great UX, accessibility, and instrumentation., Own APIs/services: Design and implement Python FastAPI/GraphQL endpoints, data models, and background jobs that power agent workflows., Context + orchestration: Contribute to the context graph and planner/executor policies; wire eval harnesses to measure quality., Production excellence: Add observability, tests, and runbooks; improve latency and run cost; implement safe fallbacks., Integrations: Deliver and maintain integrations with CRM and sales tools; reduce context switches for users., Engineering leadership: Write RFCs, lead design/code reviews, mentor ICs, and improve standards and tooling.

Qualifications: 4+ years building and owning full-stack apps with measurable impact (0→1 and 1→N)., Strong React/TypeScript (state management, performance, testing) and Python (FastAPI/GraphQL)., Comfort with AWS production ops; familiarity with PostgreSQL/DynamoDB, Kubernetes, Pulumi, event-driven designs., Experience stitching multi-source data into product-ready models; strong privacy, reliability, and multi-tenant instincts., Nice to have: agent orchestration/planning, retrieval/graph-shaped context, eval frameworks, distributed systems.

Minimum Requirements: 4+ years building and owning backend/platform systems end-to-end,Has not applied to the company before,Hybrid availability: able to work 3 days per week in San Francisco, New York City, or Vancouver (or relocating on an agreed timeline),Production experience with React + Python.

Screening Questions: Work authorization (KO): Do you currently have work authorization for that location (US or Canada) without sponsorship?,Link one shipped React + Python product you owned end-to-end. What did you ship first and how did you measure success?,How have you improved React performance (render strategy, memoization, suspense, data-fetching patterns)?

Company Information

About Company: N/A

Culture: N/A

Additional Information

Interview Process: 2-3 interviews and technical assessment with the team + founders. Initial screening by VP of Engineering.

Day to day: Own a large slice of the product: design UI flows, build APIs, wire data and agents, ship small changes weekly, and watch the metrics. Balance deep work with in-person collaboration three days a week (whiteboards, design reviews, customer debriefs), and keep production healthy with observability, on-call participation, and steady quality improvements.

Team: Report to the Engineering Lead/CTO on a small, senior, high-ownership team. Partner daily with Product and closely with Sales/RevOps; lead design reviews, write RFCs, and make architecture/tooling decisions within your area while mentoring ICs. Cadence includes a daily stand-up and a weekly design/growth review.

Growth: Meaningful equity and the ability to shape platform architecture from day one. Clear paths to Principal Engineer or Tech Lead scope—owning major subsystems, setting reliability/latency/cost standards, mentoring others, and influencing hiring and technical direction.

Ideal Candidate Profile: Staff-level IC from an AI/data/infra or GTM-tooling company who has owned a platform surface from 0→1 and through reliability hardening., Strong Python + AWS; comfortable with Postgres or DynamoDB, FastAPI/GraphQL, Kubernetes, Pulumi, event-driven design., Experience with agent orchestration/retrieval or graph-shaped context; adds evals/observability and ships iterative improvements., Excellent instincts for multi-tenant isolation, privacy, reliability, and cost control; communicates trade-offs clearly., Leads design/code reviews and mentors peers while staying hands-on; collaborates tightly with Product and GTM., Hybrid 3 days/week in SF, NYC, or Vancouver (or relocating on an agreed timeline).

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