Software Engineer 1 - Data Platforms

About this role

Contribute to building and operating scalable data platform infrastructure that supports Abnormal AI’s data-intensive products. Develop tools and services that help engineering teams adopt data systems, while improving automation, reliability, and performance.

About the company

Abnormal Security uses AI to detect and stop email and collaboration attacks such as phishing and business email compromise. It protects enterprises against social engineering and account takeover.

The team

Data Platform team

Stack

What you'll do

• Develop and operate core data platform components.
• Build tools and services that help teams adopt and scale data systems.
• Automate infrastructure and operations to improve reliability, performance, and scalability.
• Apply GenAI techniques to improve developer and operator experiences.
• Collaborate across engineering teams on scalability and reliability challenges.
• Deliver projects end-to-end with guidance from senior engineers.

What we're looking for

• At least 1 year of professional software engineering experience; backend, distributed systems, or infrastructure experience preferred.
• Programming skills in Python, Go, or a similar language.
• Strong software engineering fundamentals, including data structures, clean code, testing, and debugging.
• Curiosity, problem-solving skills, and willingness to ask questions.
• Ability to work independently and collaboratively, with strong communication skills.

Nice to have

• Experience with Kafka, Kinesis, or Flink.
• Familiarity with AWS, GCP, or Azure.
• Exposure to large-scale or data-intensive systems.

Benefits

• May be eligible for bonus or incentive compensation and equity.
• Comprehensive benefits package.