Experienced engineer to architect scalable customer-facing services, APIs, and web applications for an AI fraud platform. Requires 8+ years building highly-available services and strong Java skills.
Dropwizard, Snowflake, Spanner, Postgres, Redis, MongoDb, GCP, Elasticsearch, Kafka, BigTable
Staff engineer owning complex full-stack systems with AI/LLM integration, defining architecture, driving cross-team alignment, and mentoring to scale engineering at a fast-growing AI startup. Requires 8-10 years experience and in-office NYC presence.
Leads technical vision and architecture for AI-powered support automation systems at Databricks. Builds agentic workflows, full stack development, and integrates with multi-cloud environments to enhance customer experience and scalability.
Develops observability platforms for massive-scale infrastructure, handling billions of time series and petabytes of logs across global cloud regions. Requires 7+ years experience in systems languages, distributed systems, and cloud technologies like Kubernetes.
Leads development of AI-powered systems for customer engagement using ML/LLMs to provide precise solutions and escalations. Requires 6+ years in large-scale distributed systems with strong product and ML expertise.
Owns end-to-end product features in talent acquisition software, from research and specs to full-stack implementation including scheduling, filters, and offer signing. Thrives in ambiguity, builds reusable abstractions across stack, balances speed/quality.