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YPO

Full Stack Engineer

YPO

. Own the full feature lifecycle, including architecture, implementation, code review, QA, deployment, and post-launch monitoring .

Posted 10/30/2026full-timeRemote • United States, Canada, MexicoMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full feature lifecycle management, including architecture, implementation, and deployment of scalable applications. Proficient in building responsive frontends with React and TypeScript, and backend services using Node.js and NestJS, while leveraging modern data technologies and APIs for enhanced functionality.

Highest-signal resume keywords
React DevelopmentTypeScript ProficiencyNode.js/NestJS Backend DevelopmentGraphQL Schema DesignPostgreSQL Query Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
ReactTypeScriptNode.jsNestJSGraphQLPostgreSQLRedisKafkaOpenAI APIGoogle Gemini API
Soft Skills
Technical CommunicationArchitectural ThinkingCollaboration
Tools & Technologies
OptimizelyApolloSnowflakeDbtDockerKubernetesTerraformAWSVitestJest
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceEngineering Degree
Industry Keywords
Feature Lifecycle ManagementA/B TestingData WarehousingIdentity PlatformsEvent-Driven Architecture

Tech Stack

Tools & technologies
AirflowApolloAWSDockerGraphQLJavaScriptJestKafkaKubernetesNeo4jNode.jsPostgresReactRedisSnowflakeTerraformTypeScript

About the role

Key responsibilities & impact
  • Own the full feature lifecycle, including 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 using 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 while managing AI feature failures, timeouts, and token costs
  • Instrument features with PostHog and Datadog
  • Design and run A/B experiments and feature-flag rollouts via Optimizely
  • Contribute to architecture decisions, ADRs, and post-incident reviews
  • Address performance bottlenecks across GraphQL resolvers, N+1 queries, frontend rendering, and mobile time-to-interactive
  • Partner with product, design, the Lead Security Engineer, and DevOps to ensure features are secure, well-architected, and operationally sound

Requirements

What you’ll need
  • 5–7 years of professional software engineering experience shipping production-grade products end-to-end
  • Strong TypeScript/React skills, including component architecture, state management, hooks, and performance
  • Backend experience with Node.js and NestJS building modular, tested services
  • GraphQL experience, including schema design, resolvers, subscriptions, Apollo client/server, and familiarity with API gateway patterns such as Apigee or equivalent
  • PostgreSQL proficiency, including query optimization, schema design, and TypeORM/Prisma
  • Experience with Auth0 or equivalent identity platforms
  • Familiarity with Redis and Kafka or similar caching and event-driven/message-queue patterns
  • Production experience with OpenAI, Google Gemini, or other LLM APIs, including prompt engineering, rate limiting, fallback handling, and 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, including ECS, RDS, Lambda, S3, and CloudWatch
  • Docker, Kubernetes, or Terraform
  • Testing with Vitest, Jest, or Playwright
  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience
  • Ability to work flexible and/or extended hours across multiple time zones
  • Willingness and ability to travel domestically and internationally without restrictions, approximately 5–10% per year

Benefits

Comp & perks
  • Willingness and ability to travel domestically and internationally, approximately 5–10% per year
  • Flexible and/or extended hours as needed to accommodate members and team members in multiple time zones