Description:

Develop scalable distributed systems that power critical features on the Haus Platform.
Identify opportunities and lead efforts to consolidate key functionality into reusable, generalized patterns or services.
Build efficient solutions on top of Google Cloud Platform using Python and other languages as appropriate.
Influence and help to operate the entire platform using modern technologies such as Python, Flask, Metaflow, dbt, BigQuery, Pub/Sub, EventArc, Apache Beam, etc.

Requirements:

4-7+ years of experience as a Software Engineer, with a minimum of 4 years experience building scalable distributed systems incorporating or directly adjacent to data or machine learning.
Experience building and deploying products in Python or Go, Scala/Java, or other similar languages: it makes you uncomfortable deploying something for end-users without thinking about things like performance metrics, monitors and dashboards, graceful degradation and feature flags.
Demonstrated ability to work in more ambiguous environments: you are an excellent communicator who can take a high-level goal, work with others to deliver pragmatic, shippable solutions — and then evolve and generalize them.
Experience with cloud infrastructure (Google Cloud, AWS, etc) and working familiarity with Docker/Kubernetes.
Experience working with a variety of distributed data systems such as Kafka, Storm, Spark, Clickhouse, Druid, Snowflake, BigQuery, etc.
Bonus points for earlier stage startup experience, experience with build systems and infrastructure management tooling like Terraform, experience with data/ML frameworks and tooling, and a BS/MS/PhD in Computer Science, Applied Mathematics, or a related field.

Competitive salary and early startup equity.
Top of the line health, dental, and vision insurance.
401k plan.
Unlimited PTO with a 10-day minimum.
Provide you with the tools and resources you need to be productive (new laptop, equipment, you name it).