Enterprises of all sizes trust Abnormal AI's cloud products to stop cybercrime. These products are data intensive SaaS applications that depend on reliable, scalable, and secure access to data. This is where our Data Platform team fits in, enabling efficient, reliable and scalable data processing across both realtime and offline processing systems. Come empower the rest of engineering to stop cybercrime as we expand our offerings across both clouds and regions.
The Data Platform team is looking to add a Senior Software Engineer. The individual in this role will have the opportunity to partner closely with our existing world class team of engineers as we define and build the next generation Batch platform.
There are a lot of opportunities for growth and career advancement – it’s up to you to own your career here. Some potential career paths for this role include:
- Solving zero-to-one or one-to-million problems
- Growing into a Staff / technical leadership role
- Positioning yourself to be a founding engineer for a new team.
- Optimize the performance of offline data processing systems (we use PySpark and Databricks) to increase their efficiency.
- Improve the reliability and security posture of offline data storage systems.
- Define and deliver our data platform offerings across AWS, Azure to empower and delight our internal engineering customers (Data Science and ML)
- 6+ years of experience working on data-intensive applications and distributed systems. This is not a Data Engineering role.
- Strong programming skills in Python, Golang, or similar languages.
- Depth in at least one key area of the Data Platform tech stack - batch processing systems (we use Spark), data modeling (DBT), data orchestration systems (such as Airflow)Relational DBs, key value and/or document datastores, caches, Kafka, Spark (or other batch processing systems)
- Excellent ability and strong desire to onboard and mentor other engineers.
- Experience in working with AWS (or a similar public commercial cloud such as Azure / GCP).
- Prior experience in up-leveling the use of Spark (or similar data processing systems) in a tech startup to support their growth and scale.
- Prior experience with Databricks.
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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
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.
