Staff Software Engineer (Full Stack)

Location: Remote (United States – US time zones preferred)
Compensation: $200K – $240K + 0.20% – 0.40% equity
Employment Type: Full-time
Work Authorization: US work authorization required (no new visa sponsorship; limited H1B transfer exceptions possible)

About Our Client

Our client is an open source SaaS company building a feature flagging and A/B testing platform used by thousands of companies in production. Backed by leading venture investors, the company operates as a distributed US-based team and is entering a high-growth phase.

This is an early, high-impact engineering hire. The selected candidate will play a critical role in shaping both product direction and technical architecture while helping scale systems to enterprise-grade reliability and performance.

The team is fully remote, with a preference for candidates located within US time zones to allow for meaningful collaboration overlap.

The Opportunity

Our client is seeking a Staff Full Stack Engineer to help design and scale core platform infrastructure and customer-facing analytics capabilities.

This role is ideal for an engineer who enjoys solving complex distributed systems challenges, building high-performance data products, and contributing meaningfully within a small, high-ownership team.

Key Technical Challenges

Scaling Event Ingestion

The platform ingests analytics events from customers (e.g., button clicks, transactions) and makes them queryable via SQL. The system must scale to millions of events per second while maintaining low latency (<30 seconds).

Warehouse-Native Product Analytics

The team is building a product analytics suite (similar to Mixpanel or Amplitude) that operates directly on a company’s existing SQL data warehouse. This includes significant front-end architecture, data engineering, and performance optimization work.

Real-Time Feature Flag Analytics

When developers release code, they need immediate insight into system health and feature adoption. The platform aims to provide real-time visibility that extends beyond traditional APM tools and delivers a comprehensive analytics solution.

Robust Multi-Database SQL Support

The platform supports 12+ SQL data sources, including Postgres, BigQuery, and PrestoDB, each with unique quirks and edge cases. Scaling this support requires building automated SQL test suites and dynamically provisioning complex cloud infrastructure.

Streaming Feature Delivery Service

When a feature flag is toggled, updates must propagate globally within seconds. The system must maintain extremely high reliability (99.999% uptime) while handling billions of requests per day.

Required Qualifications

• Expert-level proficiency in TypeScript, React, and Node.js

• Strong understanding of both SQL and NoSQL databases

• Experience building large-scale web applications from scratch

• Strong English communication skills

• Experience in or strong interest in working within a startup or small, high-ownership team

Preferred / Bonus Experience

• Contributions to open-source projects

• Experience using feature flags or A/B testing in production environments

• Experience building data-intensive analytics platforms

• Experience designing high-scale distributed systems

Benefits

• Fully remote work within US time zones

• Comprehensive health, vision, and dental coverage (100% employee premium covered; 95% for dependents)

• Generous home office or coworking stipend

• Regular company off-sites

The company is an equal opportunity employer committed to fostering an inclusive and supportive work environment.

Interview Process

The interview process typically includes four virtual stages:

1. Introductory call with a founder

2. Technical screen (live coding and screen sharing)

3. System design interview

4. Behavioral and culture interview

The focus throughout the process is on real-world problem solving and technical thinking. There are no riddles or algorithm-style trick questions. The goal is to ensure strong mutual fit.

Why This Role Stands Out

This is an opportunity to operate at the Staff level within a high-growth, open-source SaaS company tackling complex data and distributed systems challenges.

The selected candidate will have meaningful ownership over architectural decisions, influence product direction, and help scale systems used by thousands of engineering teams globally.

For engineers who want startup ownership with enterprise-scale technical depth, this role offers both.