Software Engineer 1, Data Platform

Posted 13 Days Ago
Hiring Remotely in USA
Remote
Junior
Security • Cybersecurity
The Role
As a Software Engineer I, contribute to the design and operation of Abnormal's data platform, develop tools for data integration, and automate infrastructure for improved performance. Collaborate with engineering teams to solve scalability issues while learning from experienced engineers.
Summary Generated by Built In
About the Role

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 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: PostgreSQL, OpenSearch/Elasticsearch, Redis, RocksDB, Kafka, Spark, Airflow, DBT.
  • 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.

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.

Top Skills

Airflow
AWS
Dbt
Go
Kafka
Opensearch
Postgres
Python
Redis
Rocksdb
Spark
Am I A Good Fit?
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The Company
San Francisco, CA
175 Employees
Year Founded: 2018

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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