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
