CRED Platform is looking for a Backend Engineer to build and scale the systems that fuel our AI products, including LLM agents and customer intelligence dashboards. You will architect and optimize systems handling large datasets and high-velocity event pipelines in a fast-paced environment.

What You'll Do

Design, build, and optimize GraphQL APIs that power real-time, data-rich interfaces.
Work across the data platform — ingesting, transforming, and querying massive datasets, primarily in BigQuery.
Develop backend systems in JavaScript/TypeScript (Node.js) with Python components as needed.
Partner closely with frontend, AI, and product teams to support weekly sprint cycles and deliver new features quickly.
Build infrastructure for data ingestion, enrichment, and delivery across internal and customer-facing tools.
Optimize performance and scalability of backend systems as the platform evolves.
Collaborate on architectural decisions and shape engineering best practices.

What We're Looking For

5+ years of backend development experience, ideally in fast-paced product environments.
Proficiency in GraphQL, BigQuery, and JavaScript/TypeScript (Node.js).
Comfortable working with structured and unstructured data.
Experience building APIs and services that are performant, secure, and scalable.
Familiarity with Python — especially for data manipulation or integration tasks.
Strong collaboration skills and a bias for shipping.
Startup mindset — proactive, resourceful, and thrives in ambiguity.

Nice to Have

Experience integrating with LLM or agent-based systems.
Built systems for sales intelligence, customer data platforms, or internal tools.
Familiarity with cloud infra (GCP/AWS), observability tools, and CI/CD workflows.
Comfort owning data pipelines end-to-end, from ingestion to query optimization.
Open-source contributions or personal backend/data projects.