Cryptocurrency exchange and custody platform for individuals and institutions
Gemini operates a crypto trading and custody platform built on a polyglot stack spanning Python, Spark, Flink, Kafka, and Rust—infrastructure designed for high-throughput, low-latency systems. The engineering-heavy hiring profile (7 of 11 core technical roles) paired with active blockchain adoption and projects around distributed systems for millions of users and fraud detection instrumentation suggests Gemini is scaling infrastructure to handle transaction volume and regulatory complexity simultaneously. Pain points cluster around data pipeline scalability and fraud/risk automation—areas where engineering velocity directly impacts both user experience and compliance posture.
Notable leadership hires: Head of Compliance
Gemini is a regulated cryptocurrency exchange and custody platform founded in 2015, headquartered in New York. The platform enables customers to buy, sell, stake, and store cryptocurrency, serving both retail and institutional clients. The company operates under broker-dealer and money services licenses, reflected in active projects around compliance program development (broker-dealer and FCM), enterprise risk frameworks, and blockchain reconciliation. Gemini's engineering footprint spans data pipelines (Spark, Flink, Kafka, Airflow), distributed system design, fraud detection, and risk automation—core to managing both the technical demands of a high-volume exchange and the regulatory requirements of a supervised financial institution.
Gemini's core stack includes Python, Apache Spark, Apache Flink, Kafka, Airflow for data pipelines; Rust, Go, Java, Scala for backend services; AWS infrastructure with Kubernetes, Terraform, KMS; and Datadog and CloudWatch for observability. They are actively adopting blockchain technologies.
Gemini is headquartered in New York, NY. The company was founded in 2015 and currently employs 501–1,000 people.
Gemini's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.