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Software Engineer
Confirmed live in the last 24 hours
United States
Experience Level
Desired Skills
Apache Spark
Apache Kafka
Apache Flink
  • You have 5+ years building high scale and secure data systems with modern data technologies like Kafka, Spark, Flink, etc
  • You love working with small teams and have a strong bias for action
  • You have started a project from scratch before and love owning problems end-to-end
  • You thrive in an ambiguous startup environment where you will make decisions that have a huge impact on our business
  • Build a product that customers need and love: Go-to-market teams rely on Pocus to uncover new revenue opportunities and save hours / week digging through data. Customers have referred to Pocus as an “answer to all of their prayers”
  • Have complete autonomy: Extreme autonomy and ownership is how we move so fast. At Pocus, you will have the opportunity to influence every aspect of our product and technology
  • Work with best-in-class engineering practices: We take immense pride in the craft of our work. We don't skimp on things like code review, developer tooling, documentation, testing, etc
  • Dive into a huge opportunity that is currently untouched: We have hundreds of customers on our waitlist and thousands in our community. There is insane demand for the Pocus product and we've barely scratched the surface
  • Join an incredible team at a magical time: We're at the beginning stages of explosive growth. Join a passionate, scrappy, and no-ego team of builders that will inspire you every day
  • Contribute meaningfully to the data platform that powers Pocus, working with technologies like Kafka, Clickhouse, Presto, Apache Flink, and AWS
  • Scope and build high quality integrations with third-party tools and data sources
  • Architect systems to handle the increasing scale and complexity of our customers data
  • Collaborate closely with the rest of our engineering team through code reviews, architecture reviews, brainstorms, etc
  • Build and maintain tooling and processes for data monitoring and observability

1-10 employees

Revenue analysis by product-led sales