Job Overview
Location
Remote - USA
Job Type
Full-time
Category
Software Engineering
Date Posted
May 25, 2026
Full Job Description
đź“‹ Description
- • Build and operate distributed systems and services handling billions of transactions per day to support Abnormal’s AI-powered cybersecurity platform.
- • Design, develop, and maintain storage and retrieval infrastructure for the Aggregates Platform, enabling ingestion pipelines and detection algorithms to process massive volumes of data.
- • Implement scalable, low-latency data architectures that evolve with Abnormal’s cellular architecture and growing customer demands.
- • Work with streaming data systems such as Kafka, Spark, and Map/Reduce to process and analyze large-scale datasets in real time.
- • Utilize large-scale data storage technologies including DynamoDB, Aerospike, Redis, and Databricks to ensure efficient data persistence and retrieval.
- • Drive projects focused on scalability, reliability, and cost optimization across the data infrastructure stack.
- • Collaborate closely with customer-facing teams to understand use cases, scale requirements, and operational constraints, then translate them into technical solutions.
- • Participate in the full hiring lifecycle, including technical interviews, candidate assessments, and cultural fit evaluations to attract and select top engineering talent.
- • Serve as a talent magnet by demonstrating technical excellence and clear communication during interviews, helping to close high-potential candidates for the Aggregates team.
- • Operate in a fast-paced, scrappy environment where project requirements are not always fully defined; proactively investigate problems and determine next steps without detailed PRDs.
- • Contribute beyond core backend responsibilities by occasionally assisting with frontend bugs, customer calls, or cross-functional initiatives as needed.
- • Maintain strong written and verbal communication skills to effectively collaborate across a fully distributed remote team, including writing detailed project proposals and participating in Zoom discussions.
- • Apply best practices in software development to ensure clean, maintainable, and production-ready code in a high-stakes cybersecurity environment.
- • Leverage AI-native tools like Cursor, GitHub Copilot, and Claude to accelerate development, improve code quality, and enhance engineering efficiency.
🎯 Requirements
- • 3-5 years of overall software engineering experience
- • Experience building and operating distributed systems at scale (~billions of transactions per day)
- • Hands-on experience with streaming data systems (Kafka, Spark, Map/Reduce)
- • Proven experience with large-scale data storage systems (DynamoDB, Aerospike, Redis, Databricks)
- • Strong understanding of software engineering best practices
- • Ability to thrive in ambiguous environments with minimal documentation and self-direct project work
🏖️ Benefits
- • Base salary range of $149,200–$214,500 USD
- • Eligibility for bonus or incentive compensation
- • Equity compensation
- • Comprehensive benefits package
- • Fully remote work environment with a distributed team
- • Opportunity to work with cutting-edge AI tools like Cursor, GitHub Copilot, and Claude
Skills & Technologies
About Abnormal Security Corporation
Abnormal Security Corporation provides cloud-native email security using behavioral AI to block business email compromise, phishing, malware, and socially-engineered attacks. The platform integrates via API with Microsoft 365 and Google Workspace, analyzing identity, content, and context to detect anomalies without altering mail flow. Founded in 2018 and headquartered in San Francisco, the company serves mid-market to Fortune 500 organizations, reducing risk, automating incident response, and providing visibility into human-targeted threats.
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