Abnormal AI is looking for a Software Engineer to join the Portal Platform team.
Our team’s mission is to uplevel the architecture across our different portals here at Abnormal:
- Customer Portal - a gateway our customers use to interact with Abnormal
- End User portal - functionality for the users inside the companies that have purchased our product
- Demo portal - a tool to help showcase different combinations of our product by GTM teams
Main themes include helping reach and maintain enterprise grade stability, security & usability for our customers while enabling application teams to easily develop & deploy their frontend components utilising AI-driven workflows.
This role offers an exciting opportunity to join an AI-native company. You will own truly impactful, platform-level work, driving cross-functional influence that spans across product development and enabling our go-to-market teams.
You'll join a team of experienced engineers, collaborating with them to design components & drive execution. The ideal candidate is comfortable working with a distributed team & has worked in a full-stack capacity before in enterprise environments.
What you will do- Design and execute platform-level software projects from conception through launch, collaborating with senior engineers across the organization.
- Build and maintain backend services and APIs that power our portal experiences
- Build reusable frontend libraries, design systems, and developer tooling that accelerate feature delivery across product teams
- Own infrastructure concerns, including CI/CD pipelines, deployment automation, and observability for portal applications.
- Drive frontend performance, accessibility, and quality standards across our portal applications.
- Raise the bar of excellence in engineering, actively contributing to knowledge sharing within the team, and participating in professional development activities.
- Provide guidance and mentorship for junior members of the team
- Help accelerate the teams with their changes across different realms of front-end development
- 6+ years of experience as a software engineer, with a track record of owning and delivering complex, cross-team projects end-to-end
- Deep expertise in React and modern frontend architecture (state management, performance tuning, build tooling, design systems)
- Strong backend proficiency in Python (Django) or TypeScript, with experience designing APIs and data models for scale
- Experience with cloud infrastructure (AWS, Kubernetes, CI/CD) and comfort operating production systems
- Demonstrated ability to influence technical direction — you've driven RFCs, architecture decisions, or platform migrations
- Experience mentoring engineers and raising the technical bar through code reviews, documentation, and knowledge sharing
- Strong communication skills, especially in distributed/async environments — you write clearly and proactively
- Proven ability to balance technical debt with feature delivery at the platform level
- You’re growth driven looking to increase impact and responsibility over time
- Strong fundamentals in computer science, data structures, and performance optimization.
- BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field
- Familiarity with our stack (AWS, K8, Python/Django, React, Postgres)
- Experience and eagerness to leverage AI development tools
- Experience with large scale web frontend applications
- Experience with front end build tools
- Experience with micro-frontend architecture patterns
- Experience with web security (eg. OWASP top 10)
#LI-NT1
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
- 6+ years of experience as a software engineer delivering complex, cross-team projects end-to-end
- Deep expertise in React and modern frontend architecture, including state management, performance tuning, build tooling, and design systems
- Strong backend proficiency in Python with Django or TypeScript, including API and scalable data model design
- Experience with AWS, Kubernetes, CI/CD, and operating production systems
- Experience influencing technical direction through RFCs, architecture decisions, or platform migrations
- Experience mentoring engineers and raising technical standards through code reviews, documentation, and knowledge sharing
- Strong written and verbal communication skills in distributed or asynchronous environments
- Ability to balance technical debt with platform-level feature delivery
- Strong fundamentals in computer science, data structures, and performance optimization
- BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field
- Familiarity with AWS, Kubernetes, Python/Django, React, and Postgres
- Experience using AI development tools
- Experience with large-scale web frontend applications
- Experience with frontend build tools
- Experience with micro-frontend architecture patterns
- Experience with web security, including OWASP Top 10
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.
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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.
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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.
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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
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.
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