Software Engineer 1 - Data Platforms New Remote - USA

abnormal.ai; Northern (KY); Hybrid; USD 122,000 - 176,000; Full time

Job summary

Abnormal AI is hiring a Software Engineer I for its Data Platform team, remote in the USA. You will design, build, and operate core data platform components and tools to help teams scale data systems, with a strong emphasis on reliability and automation.

You’ll collaborate with engineers to tackle scalability challenges, learn AWS and Databricks, and contribute end-to-end solutions while growing your skills in a fast-growing, AI-first company.

Qualifications

• 1+ years of professional software engineering experience (backend, distributed systems, or infrastructure preferred).
• Solid programming skills in Python, Go, or a similar language (school, personal, or work experience count).
• Strong fundamentals: data structures, clean code, testing, debugging.
• Interest in learning about AWS, Databricks, and technologies in our stack (databases, streaming, orchestration).
• Curiosity, problem-solving, and willingness to ask questions.
• Ability to work independently and in a team with good communication skills.

Responsibilities

• Contribute to the design, development, and operation of core components of Abnormal’s data platform.
• Build tools and services to help other teams adopt and scale data systems.
• Automate infrastructure and operations to improve reliability, performance, and scalability.
• Apply GenAI techniques to build smarter developer and operator experiences.
• Collaborate across engineering teams to address scalability and reliability challenges.
• Take ownership of projects, delivering features end-to-end with guidance from senior engineers.

Skills

Python

Go

Distributed systems

Testing & debugging

Data structures

Communication

Tools

AWS

PostgreSQL

Kafka

Spark

Airflow

Job description

Remote - USA Platform & Infrastructure R-101288

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.

What you bring

• 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.

Nice to Have (but you can also learn here)

• Experience with one or more of: Kafka, Kinesis, Flink.
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Exposure to large‑scale or data‑intensive systems.

Why you’ll love it here

• 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.

Base salary range:

$122,400 — $176,000 USD

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.

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 AI's secure hiring practices, we conduct video interviews and validate applicants 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 AI's policies relevant to our security and privacy standards.

As set forth in Abnormal’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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Compensation Disclaimer: The base salary range for this position is dependent on the candidate's experience, skills, qualifications, and location. The actual offer may vary. In addition to base salary, this role is eligible for equity, annual bonus, and benefits.

Equal Employment Opportunity: Abnormal Security is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.

Privacy: By submitting your application, you agree to the processing of your personal data in accordance with our Privacy Policy .