Abnormal AI, Inc.

Compensation

Full Description

In this job, you will bring these skills: • Experience with building and operating distributed systems and services at a high scale (~billions of transactions each day) • Streaming data systems - using Kafka, Spark, Map/Reduce or similar to process large data sets • Working on large scale data storage systems, such as DynamoDB, Aerospike, Redis and Databricks • 3-5 years of overall software engineering experience • Strong sense of best practices in developing software Role Responsibilities • Build out storage and retrieval infrastructure for our Aggregates Platform • Allows our various ingestion pipelines and detection algorithms to send us billions of data points per day to be stored and processed. • Making sure that such a large scale data architecture works at our scale, low latency requirements and scales with our cellular architecture • Work on a series of projects towards scalability, reliability and cost optimisations. • Partner with our various customer teams • Understand the use cases and scale requirements of our customers and work to implement them. • Help build our group through excellent interview practices • This engineer must be able to accurately assess candidates technical skills, cultural fit and likelihood of success at Abnormal to ensure we hire the right team. • Be a talent magnet - someone who through the interview process demonstrates their own strengths in a way that attracts candidates to Abnormal and to the Aggregates team and ensures that we close the candidates we want to close. #LI-RT1 Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $149,200-$214,500 USD