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Core Architect
3 weeks ago
We are seeking an exceptional professional to lead the development of our core services, data ingestion, normalization, matching, and real-time scoring. As a Founding Engineer, you will be responsible for owning zero-to-one product and platform decisions, writing production code, and establishing engineering practices that define our company's DNA.
The ideal candidate will have 2-8+ years of experience building production systems, with strength in at least two of backend (Node/TypeScript, Go, or Python), data engineering (Kafka/SQS, Airflow, Spark), storage (Postgres/OLAP/Snowflake), distributed systems, or API/platform engineering. They should also possess solid cloud fundamentals (AWS/GCP/Azure), containers (Docker/K8s), infra-as-code, monitoring, and testing skills.
Responsibilities:- Design and build core services: data ingestion, normalization, matching, and real-time scoring.
- Create clean, well-documented APIs used by US fintechs and enterprise data teams.
- Own end-to-end features from product discovery and architecture to testing, observability, and deployment.
- Stand up a reliable data stack (streaming + batch), with strong SLAs and cost awareness.
- Set engineering standards (code quality, security, CI/CD, on-call) and influence the product roadmap.
- Work directly with customers to validate use cases and iterate quickly based on feedback.
- 2–8+ years building production systems (we're flexible for exceptional folks).
- Strength in at least two of: backend (Node/TypeScript, Go, or Python), data engineering (Kafka/SQS, Airflow, Spark), storage (Postgres/OLAP/Snowflake), distributed systems, or API/platform engineering.
- Solid cloud fundamentals (AWS/GCP/Azure), containers (Docker/K8s), infra-as-code, monitoring, and testing.
- Product mindset: you care about customer outcomes, not just tickets.
- Strong fundamentals in algorithms, data modeling, and system design.
- Security and reliability instincts—especially valuable in regulated environments (KYC/AML/PCI).
- Making a massive impact: Your architectural decisions will shape the company.
- Growth path: Clear line of sight to VP/CTO track as we scale.
- Ownership: Meaningful equity alongside competitive salary.
- Problem space: Hard, high-leverage data + fintech challenges with real customers.
- Culture: High trust, high bar, low ego. We ship, measure, and iterate.
We're a US-focused AI startup building the rails that help financial companies turn messy, fast-moving data into trustworthy, real-time decisions.
We're early, and assembling a world-class team in Bengaluru to build v1 → v10.