Workplace food ordering marketplace connecting businesses with restaurants
ezCater runs a workplace food-ordering marketplace on a Go, Kubernetes and Istio backbone spanning AWS, GCP and Azure, with Kafka, Flink and Kinesis streaming into Snowflake. Temporal, Vespa and SpiceDB point to investment in workflow orchestration, search and fine-grained authorization. Hiring tilts senior and director-level across sales, engineering and product, matching pain points around acquiring orderers, retaining spend and reducing developer toil.
ezCater operates a food platform built for workplaces, letting organizations handle recurring employee meals and one-off meeting catering by ordering from a nationwide restaurant network. On the supply side, it brings restaurant partners additional orders and business customers. The company is headquartered in Boston, MA, employs 501–1,000 people, and is privately held. Hiring is concentrated in the United States.
ezCater uses Go, Python, TypeScript, React and Next.js on Kubernetes with Istio and Terraform across AWS, GCP and Azure, plus Kafka, Apache Flink, Snowflake, Temporal, Vespa and Datadog.
Yes. Sales is among ezCater's most active hiring areas alongside engineering and product, with openings skewed toward senior and director-level roles, all in the United States.
Job posts point to an internal developer platform, an A/B experimentation platform, product-led growth and funnel optimization, delivery supply network optimization, and go-to-market coverage redesign.
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ezCater'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.