Fullstack Software Engineer - Core

Role overview Join a platform engineering team that builds an enterprise orchestration layer for analytics, machine learning, and AI agent workflows. As a Fullstack Software Engineer on the Core team, you will design and ship product features spanning data preparation, model operations, visualization, and governance, working across front-end and back-end systems in a multi-cloud environment.

Responsibilities - Develop data integration, transformation, and cataloging tools alongside notebook, SQL workbench, and API surfaces - Build next-generation AI capabilities including cross-provider LLM APIs, time series forecasting, and integrations with modern machine learning frameworks - Create collaborative workspaces for dashboards, datasets, and chart exploration, including interfaces that surface insights using large language models - Improve data visualization performance, add new chart types, and harden dashboard rendering pipelines - Automate and monitor machine learning model lifecycles, including retraining, deployment, and stakeholder collaboration features - Optimize processing engines for scalability and latency while expanding support for new databases and cloud platforms - Build governance tooling for AI compliance, connecting disparate systems into a unified management experience

Requirements - Significant professional experience shipping a real software product end to end - Ability to work across backend services and modern frontend frameworks without being tied to a single stack - Strong foundation in at least one of the core languages used across the platform, such as Java, Python, or TypeScript-based frameworks - Passion for pairing backend performance with high-quality user experience - Comfort working in a fast-paced, high-growth setting that tackles engineering challenges at scale

Nice to have - Familiarity with data science tooling such as Jupyter, scikit-learn, TensorFlow, or PyTorch - Experience with containerization and orchestration (Kubernetes, Docker) or distributed compute (Spark) - Exposure to cloud platforms across AWS, Azure, and GCP - Frontend experience with Angular, React, D3.js, or ECharts

Benefits and work setup - Remote-friendly hiring with structured interview process including recruiter call, engineering team lead screen, technical assessment, and VP-level final interviews - Equal opportunity employer with explicit commitments to dignity, fairness, and accessibility accommodations - Fraud-recruitment awareness guidance provided to candidates