FULL STACK ENGINEER | Remote | Full time

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
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Experience: React, TypeScript, Optimizely, Apollo GraphQL
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API & Orchestration: Apigee, GraphQL, Auth0, Redis, Kafka
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Leadership Intelligence (AI): OpenAI, Google Gemini, Neo4j, Snowflake, PostgreSQL, dbt, Airflow
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Systems of Record: Salesforce, PostgreSQL
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DevOps & Hosting: AWS/Azure, Kubernetes, Terraform, Datadog
What You'll Do
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Own the full feature lifecycle — architecture, implementation, code review, QA, deployment, and post-launch monitoring.
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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.
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Design and query PostgreSQL schemas (TypeORM/Prisma); collaborate on Snowflake pipelines and dbt models feeding the Leadership Intelligence layer.
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Integrate OpenAI and Google Gemini APIs for AI-powered discovery, recommendations, and matching; work with Neo4j graph data for relationship-driven insights.
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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.
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Instrument features with PostHog and Datadog; design and run A/B experiments and feature-flag rollouts via Optimizely; use data to drive iteration.
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Contribute to architecture decisions, ADRs, and post-incident reviews; address performance bottlenecks across the stack

📌 Full Stack Engineer (India)
🏢 Central Business Solutions
📍 India