Enterprises of all sizes trust Abnormal AI’s cloud products to stop cybercrime. These AI-native, data-intensive SaaS applications depend on fast, reliable, and secure access to massive datasets. That’s where the Data Platform team comes in: designing and operating scalable storage systems (PostgreSQL, OpenSearch, Redis, RocksDB, DynamoDB), batch and stream data processing (Kafka, Spark), orchestration (Airflow, DBT), and more.
We build and maintain the core infrastructure that powers Abnormal’s most data-heavy workloads, providing scalable, reliable, and efficient data platforms and services to all of engineering and data science. We also create tools that make this infrastructure simple to operate and integrate, enabling teams to deliver faster with confidence.
We’re looking for a Software Engineer I who is eager to learn and ready to take on meaningful technical challenges. You’ll work alongside experienced engineers, contribute to ambitious projects, and grow your skills while helping to scale the systems that support Abnormal’s rapid growth.
What you will do- Contribute to the design, development, and operation of core components of Abnormal’s data platform.
- Build tools and services that make it easy for other teams to adopt and scale data systems.
- Help automate infrastructure and operations to improve reliability, performance, and scalability.
- Apply cutting-edge GenAI techniques to build smarter developer and operator experiences.
- Collaborate across engineering teams to solve scalability and reliability challenges.
- Take ownership of projects, delivering features end-to-end with guidance from senior engineers.
- 1+ years of professional experience in software engineering: backend, distributed systems, or infrastructure preferred.
- Solid programming skills in Python, Go, or a similar language (school, personal, or work experience all count).
- Strong software engineering fundamentals like data structures, clean code, testing, and debugging.
- Interest in learning about AWS, Databricks, and technologies in our stack (databases, streaming, orchestration).
- Curiosity, problem-solving skills, and a willingness to ask questions.
- Ability to work both independently and as part of a team, and strong communication skills.
- Experience with one or more of: Kafka, Kinesis, Flink.
- Familiarity with cloud platforms (AWS, GCP, Azure).
- Exposure to large-scale or data-intensive systems.
- You’ll be part of a high-impact team solving problems that matter.
- You’ll learn from and work with experienced engineers in a collaborative, supportive environment.
- You’ll get real opportunities for ownership and career growth early in your journey.
- You’ll help shape the future of our data platform at a fast-growing, AI-first company.
#LI-ML1
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
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
- 1+ years of professional software engineering experience, preferably in backend, distributed systems, or infrastructure
- Programming skills in Python, Go, or a similar language
- Strong software engineering fundamentals, including data structures, clean code, testing, and debugging
- Interest in learning AWS, Databricks, databases, streaming, and orchestration technologies
- Curiosity, problem-solving skills, and willingness to ask questions
- Ability to work independently and collaboratively
- Strong communication skills
- Experience with Kafka, Kinesis, or Flink
- Familiarity with cloud platforms such as AWS, GCP, or Azure
- Exposure to large-scale or data-intensive systems
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.
