Backend Engineer; Scala)
Listed on 2026-10-04
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Software Development
Backend Developer, Database Engineering
Candidates from all backgrounds should feel free to apply, even if their experience is not exactly what is stated in these job descriptions.
We are a remote-first team with team members in North America, Europe, and APAC.
About the roleWe're looking for a seasoned Back-End engineer (senior-level and up) to join us to build the next-generation sales tool to serve product-led-growth companies like Notion, Figma and Amplitude.
It's an opportunity to shape culture and influence the product on the ground floor of a greenfield opportunity in a huge market.
What you'll do- Help lead the development of our back-end services. Our back-end needs to be scalable, robust, and secure to handle large amounts of event data and analytical processing on the modern data stack (Snowflake/Big Query/Redshift, Airflow etc.).
- You'll need to design intuitive, durable, and extensible APIs that scale.
- You'll need to build reliable services to ingest millions of events daily and process them into insights and alerts.
- You'll help direct how data should be partitioned and how infrastructure should be set up, optimizing for security and latency.
- You'll help design abstractions that empower others to ship quickly by having a thoughtful and generalisable interface.
- Help define our engineering culture and processes. Question and challenge everything and teach us anything we've missed.
- Work closely with the founders to deeply understand our buyer and user persona and help determine our roadmap.
Experience building data-heavy back-end systems:
Our backend is built with Scala (Zio)
Proficiency in at least one of the SQL languages (MySQL, PostgreSQL, Sql Server, Oracle)
Ability to see around corners and design both thoughtfully and quickly:
While years of experience don't always correlate with this, we think you'll likely have at least 4 years of experience.(Preferred) Experience with Data Engineering tools:
We use Beam (Scio) on top of Dataflow and Big Query. We work with data warehouses including Big Query and others, as well as third-party event sources such as Segment. (Preferred) Experience with workflow management tools (Airflow, Oozie, Prefect, Dagster).
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