The Role

We're seeking a Full Stack Engineer to build and own features across layered platform — from the member-facing React experience through the GraphQL API layer, into the AI-powered intelligence and data services that drive personalized leadership insights. This is a high-ownership, end-to-end role: you'll take features from concept through production release, instrument them, and iterate on data.

Platform Layers You'll Work Across

• Experience: React, TypeScript, Optimizely
• API & Orchestration: Apigee, GraphQL, Auth0, Redis, Kafka
• Leadership Intelligence (AI): OpenAI, Google Gemini, Neo4j, Snowflake, PostgreSQL, dbt, Airflow
• Systems of Record: Salesforce, PostgreSQL
• DevOps & Hosting: AWS/Azure, Kubernetes, Terraform, Datadog

What You'll Do

Own the full feature lifecycle — architecture, implementation, code review, QA, deployment, and post-launch monitoring. Build responsive React/TypeScript frontends integrated with Optimizely; design Apollo GraphQL schemas and resolvers served through Apigee; build modular Node.js/NestJS backend services using Redis for caching and Kafka for event-driven workflows. Design and query PostgreSQL schemas (TypeORM/Prisma); collaborate on Snowflake pipelines and dbt models feeding the Leadership Intelligence layer. Integrate OpenAI and Google Gemini APIs for AI-powered discovery, recommendations, and matching; work with Neo4j graph data for relationship-driven insights. Use AI-assisted development workflows (pair programming, code generation, test scaffolding) to increase velocity without compromising quality; handle AI feature failures, timeouts, and token costs with a production mindset. Instrument features with PostHog and Datadog; design and run A/B experiments and feature-flag rollouts via Optimizely; use data to drive iteration. Contribute to architecture decisions, ADRs, and post-incident reviews; address performance bottlenecks across the stack (GraphQL resolvers, N+1 queries, frontend rendering, mobile time-to-interactive). Partner with product, design, the Lead Security Engineer, and DevOps to ensure features are secure, well-architected, and operationally sound from the start.

Required Qualifications

• 5–7 years of professional software engineering experience shipping production-grade products end-to-end.
• Strong TypeScript/React skills (component architecture, state management, hooks, performance).
• Backend experience with Node.js and NestJS building modular, tested services.
• GraphQL experience (schema design, resolvers, subscriptions, Apollo client/server) and familiarity with API gateway patterns (Apigee or equivalent).
• PostgreSQL proficiency (query optimization, schema design, TypeORM/Prisma).
• Experience with Auth0 or equivalent identity platforms.
• Familiarity with Redis and Kafka (or similar) for caching and event-driven/message-queue patterns.

Nice to Have

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
• Production experience with OpenAI, Google Gemini, or other LLM APIs (prompt engineering, rate limiting, fallback handling, cost management).
• Strong architectural thinking and clear technical communication; experience with high-autonomy, end-to-end ownership.
• Neo4j or other graph database experience.
• Snowflake/data warehouse experience with dbt or Airflow.
• Optimizely or similar experimentation/feature-management platforms.
• Salesforce integration experience.
• AWS experience (ECS, RDS, Lambda, S3, CloudWatch).
• Docker, Kubernetes, or Terraform.
• Testing with Vitest, Jest, or Playwright (unit, integration, e2e).