Our Message Security Detection team at Abnormal operates at massive scale, powering critical security infrastructure that processes 10B+ emails per week (~35 TB of data daily), while also building a new real-time Threat Intelligence platform from the ground up.
What makes this opportunity unique is the combination of zero-to-one product development and enterprise-scale engineering challenges from day one, involving real-time data streaming, low-latency backend systems, and large-scale search and indexing. This is a zero-to-one initiative focused on streaming critical security data to enterprise teams at scale. As an SWE-2 on this team, you won't just be executing on a roadmap, you'll be helping us find the problems that aren't on it yet. We are looking for a backend engineer with a builder mindset who thrives in an environment where they can take ownership and help define the technical path forward.
- Build & Scale: Develop and maintain high-performance backend services using Python or Golang.
- Stream Real-Time Data: Build and optimize streaming architectures to handle live threat intelligence with low latency.
- Search & Indexing: Implement and tune OpenSearch/Elasticsearch layers to ensure massive datasets are searchable and actionable.
- Define the "How": Take high-level goals and translate them into technical specs and clean, maintainable code.
- Cloud Ownership: Manage your own deployments and infrastructure within AWS/EKS.
- AI-Augmented Development: Use AI tools to speed up development cycles and automate routine backend tasks.
- Collaborative Innovation: Work closely with the team to identify architectural gaps and proactively suggest improvements.
- 3–5 years of production experience in backend development and systems design.
- Hands-on experience with Kafka, Kinesis, or similar message brokers/streaming platforms.
- Proven experience working with OpenSearch or Elasticsearch at scale.
- Deep familiarity with AWS (highly preferred) and mandatory production experience with EKS (Kubernetes).
- Proficiency in Python or Golang and solid experience with Postgres.
- Builder mindset: comfortable with "zero-to-one" challenges and defining requirements when specs are loose.
- Frontend Basics: Familiarity with React/TypeScript for building internal tools or data visualizations.
- Security Context: An interest in cybersecurity or experience working with security data.
- Tooling: Experience using modern AI productivity tools to increase engineering velocity.
Bachelor of Science degree in Computer Science, Applied Sciences, Information Systems, or a closely related engineering field.
#LI-AD2
A note on AI in our process:
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. 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 AI's policies relevant to our security and privacy standards.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
Skills Required
- 3-5+ years of production experience in backend development and systems design
- Hands-on experience with Kafka, Kinesis, or similar message brokers or streaming platforms
- Proven experience working with OpenSearch or Elasticsearch at scale
- Deep familiarity with AWS
- Mandatory production experience with EKS and Kubernetes
- Proficiency in Python or Golang
- Solid experience with PostgreSQL
- Comfort with zero-to-one challenges and defining requirements when specifications are loose
- Bachelor of Science degree in Computer Science, Applied Sciences, Information Systems, or a closely related engineering field
- Familiarity with React and TypeScript
- Interest in cybersecurity or experience working with security data
- Experience using modern AI productivity tools
Abnormal Security Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Abnormal Security and has not been reviewed or approved by Abnormal Security.
-
Fair & Transparent Compensation — Pay is considered aggressively benchmarked to leading tech markets with annual reviews, and feedback suggests engineering and sales roles are compensated competitively with strong upside potential.
-
Healthcare Strength — Health coverage is portrayed as robust, including employer-paid premiums for employees in prior postings, One Medical access, and globally designed healthcare and parental leave.
-
Leave & Time Off Breadth — Time off provisions include flexible/unlimited PTO, company holidays, and paid parental leave that the company positions as globally available.
Abnormal Security Insights
Similar Jobs
.jpeg)
What We Do
The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow. Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.
