Job Description
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.
Are you interested in this position?
Apply by clicking on the āApply Nowā button below!
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