We’re building an integrations platform that connects with hundreds of systems and enables real-time data streaming into a central data lake. The mission: empower non-developers to create connectors through a low-code experience—while supporting advanced capabilities like complex data modeling, ML pipelines, and LLM integration.
What you’ll do
- Ingestion Platform: Design and build a scalable platform enabling third-party integrations via a low-code approach
- Cloud-Native Architecture: Build robust, cost-effective systems using serverless, containerization, and Infrastructure-as-Code (IaC)
- ML/LLM Workflows: Collaborate with Data Science to support feature stores, model serving, ML pipelines, and LLM-powered capabilities
- Own critical backend components for high-scale, low-latency streaming and reliable data ingestion
Requirements
- Strong system design skills: architect and build scalable platforms optimized for rapid integration and short time-to-market
- Hands-on experience building low-code platforms that enable non-technical users to create integrations
- Deep understanding of data flow and pipeline engineering (ETL/ELT, transformation, orchestration)
- Practical experience integrating diverse systems: ERP, CRM, cloud platforms, databases, and custom apps
- Cloud-native development expertise: Kubernetes, Docker, and serverless architectures
- Proven ability to optimize for high concurrency, low latency, fault tolerance, and real-world scale
- Familiarity with modern DevOps / CI/CD: deployment automation, monitoring, version control (e.g., Jenkins, GitOps, Prometheus)