Software Engineer II, Data Platform

Enterprises of all sizes trust Abnormal Security’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 II to help us define and build the next generation of our data platform. In this role, you’ll partner closely with experienced engineers, tackle ambitious technical projects, and play a key part in scaling the data platform that supports Abnormal’s rapid growth.

This is an opportunity to grow your skills, take ownership of important technical areas at Abnormal, and set yourself up for advancement into senior or technical leadership roles.

• Design, build, and operate core components of Abnormal’s data platform.
• Develop self-serve tools and services that empower internal teams to adopt and scale data systems with minimal operational overhead.
• Automate infrastructure and operations to ensure reliability, performance, and scalability with minimal human intervention.
• Apply cutting-edge GenAI techniques to build smarter developer and operator experiences.
• Collaborate across engineering teams to identify and close scalability or reliability gaps in their systems, leveraging our platform capabilities.
• Own the end-to-end delivery of complex features or systems that bring clear value to internal stakeholders.

• 3+ years of professional software engineering experience, with a focus on backend systems, distributed systems, or infrastructure.
• A strong foundation in software development: clean, maintainable, and testable code.
• Strong software engineering fundamentals, with an emphasis on taking engineering problems and solving them for long-term scale, reliability, and ease of use.
• Strong experience with Python or Go, and hands-on expertise with AWS and/or Databricks.
• Experience with one or more technologies in our stack: relational databases, RocksDB, OpenSearch/ElasticSearch, Redis, Kafka, Spark, Airflow, DBT, etc.
• Excellent communication skills, with a proven ability to work effectively with remote and cross-functional teams.
• A track record of owning and delivering technical projects with ambiguous requirements.
• A growth mindset and a strong sense of ownership over your career development.

• You’ll be part of a high-impact team solving hard problems that matter.
• You’ll work with smart, kind, and ambitious teammates who are passionate about excellence.
• You’ll get real opportunities for ownership, autonomy, and career growth.
• You’ll help define the future of our data platform at a rapidly growing company.

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