Software Engineer II - Abnormal Data Platform
About The Position
The Opportunity Abnormal AI is revolutionizing cybersecurity by leveraging AI-native technologies to combat modern cyber threats. We’re building a team of top-tier engineers who are excited to use Generative AI tools like Cursor, GitHub Copilot, and Claude to redefine how software is built – faster, smarter, and more efficient. 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. About You 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 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. 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. 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
Requirements
- 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
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
251-500 employees
