Software Engineer - ML Platform

August 6

🇺🇸 United States – Remote

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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Haus

WebsiteLinkedInAll Job Openings

11 - 50 employees

☁️ SaaS

💰 $4M Venture Round on 2022-06

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 our 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.

Benefits

• 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)