Software Engineer (Abnormal Data Platform)

Requirements

• We are seeking a highly skilled Software Engineer II to help shape the future of AI-powered application development. If you’re passionate about cutting-edge technology, scalable systems, and solving real-world challenges, this is your opportunity


• You are someone who wants to make an impact. You are passionate about solving customer problems and have built up a base of skills in backend and distributed systems development to do so. You want to apply those skills on a problem that leaves the world in a better place


• We are also not only a remote team, but a very distributed team, as such you will need to have excellent communication skills across both verbal and written mediums. You will need to be just as comfortable on a zoom call as writing a 1 pager project proposal to be shared across the team for technical feedback


• 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

What the job involves

• We are a scrappy team: we are building a new product from scratch – this means you should be comfortable with a level of uncertainty beyond what you’d find at a more mature company or even a more mature team at Abnormal. Not every project will come with a well defined PRD - that’s expected and we expect this engineer to go dig in and figure out what to do


• This also means occasionally we’ll ask you to do things that may not strictly fit the role of a “backend engineer” - it might mean jumping on a customer call, or digging in to help fix a frontend bug


• Build out storage and retrieval infrastructure for our Aggregates Platform


• Allow 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