Senior Backend Engineer

In a cloud software world, who you are and what you have access to determines the risk associated with your accounts being compromised, Abnormal Security aims to build a comprehensive tool to understand the employees of our customers, and aid security professionals in assessing the risks and threats impacting their employee base. Help us build a new layer of protection that will give enterprises the same level of security for their cloud offerings as Abnormal Security’s industry leading products do in the email security space. We’re looking to add a Senior Engineer to our team of world class engineers. The individual in this role will shape and elevate our engineering teams within the Behavioral Security Products division. This role straddles the line of velocity and excellence. 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. What You Will Do • Build and maintain high-throughput, low-latency systems that process 100s of millions of events per day to enable detection to identify notable events • Help plan and lead the efforts to build out products designed to protect our enterprise customers, from medium business to some of the largest companies in the world • Enhance our frameworks for improving detection efficiency and effectiveness • Provide operational support to maintain a high level of system uptime and performance • Create a magical work environment with colleagues and memorable interview process for candidates Must Have • Experience working with building and operating distributed systems and services • 5 Years of overall software engineering experience • Experience with tech stack including: o Language: Python, Golang o Platform: AWS o Framework: Django, Spark o Storage / Data Pipelines: Postgres, Redis, ElasticSearch, Kafka, Parquet Nice To Have Prior exposure to production machine learning systems. Export Compliance Notice: This position involves access to technology that is subject to the U.S. Export Administration Regulations (EAR). As a result, candidates offered employment must be eligible to access controlled technology under U.S. export control laws. Employment in this position is conditioned on the availability of government authorization. The Company may delay commencement of employment, rescind an offer of employment, terminate employment, as Company deems appropriate, in order to ensure compliance with applicable government access control restrictions. As part of Abnormal AIs secure hiring practices, we conduct video interviews and validate applicant identity at various stages through our recruitment process. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AIs policies relevant to our security and privacy standards.

Location: Anywhere, GB

Posted Date: 9/7/2025