Staff Software Engineer - Data Platform

Posted 9 Days Ago
Be an Early Applicant
Hiring Remotely in Canada
Remote
5-7 Years Experience
Security • Cybersecurity
The Role
Abnormal Security is seeking a Staff Software Engineer to lead the Data Platform team in building scalable storage systems and a reliable platform for processing data to detect and prevent cyberattacks. Responsibilities include shaping the architecture, acting as a technical lead, and driving engineering initiatives.
Summary Generated by Built In

About The Role

Enterprises of all sizes trust Abnormal Security’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, offering scalable storage systems (Postgresql, OpenSearch, Redis, Kafka, RocksDB), as well as providing a reliable platform (Databricks, Spark, AWS/Azure) for moving and processing data that feeds the company’s powerful ML models to detect and prevent cyberattacks.  

Abnormal Security is looking for a Staff Software Engineer to spearhead the key initiatives owned by the Data Platform team. The individual in this role will have the opportunity to mentor a small team of high-caliber engineers, define and build the roadmap to unlock the next generation data platform, and execute on ambitious and challenging technical projects to deliver value.

About You

  • Capable of tackling complex and ambiguous business problems, exploring solutions spaces and building consensus, decomposing them into execution plans, and contributing actively.
  • Have a track record of building data intensive applications that directly or implicitly contribute to the company’s business goals.
  • Can effectively earn trust and credibility from a diverse set of Engineering, Product, and Design team members.

What You Will Do 

  • Shape the Data Platform architecture and roadmap of Abnormal Security to empower and scale the growing list of AI / ML applications across the company.
  • Deep dive into the product workflows and recommend correct trade offs for the transition.
  • Act as the technical lead of the team. Own their quarterly roadmap, to set, execute and deliver.

Must Have 

  • 5+ years experience in building platforms, tools, and systems to serve the needs of engineering teams, empower them to ship with velocity and reliability.
  • Experience in building data intensive, distributed systems that are complex and high scale as a back-end engineer. This is not a Data Engineering role. 
  • Proven track record of being a Change Agent, defining and driving engineering initiatives that involve cross-team collaboration.
  • Experience with or interested in Abnormal Security Tech Stack: Python, Golang, Terraform / Terragrunt, Postgresql, Kafka, Redis, OpenSearch, AWS/Azure, Kubernetes.

Nice to Have 

  • Experience in operating complex AI / ML applications at scale.
  • Knowledge and/or experience building out platform offerings to support other engineering teams.  

#LI-RT1

Top Skills

Go
Python
The Company
San Francisco, CA
175 Employees
On-site Workplace
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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