Software Engineer II - Back End (Engineering Effectiveness)

Posted 2 Days Ago
Be an Early Applicant
Bangalore, Bengaluru, Karnataka
Mid level
Security • Cybersecurity
The Role
As a Backend Engineer at Abnormal Security, you will design and implement complex features, conduct thorough application testing, provide technical support, and engage in effective communication with team members. You will also contribute to continuous learning and improvement within the team while primarily focusing on backend development using Python and cloud platforms.
Summary Generated by Built In

About the Role

Enterprises of all sizes trust Abnormal Security’s cloud products to stop cybercrime. To effectively realize our mission, Abnormal must launch a suite of cyber-security products built on top of a common platform that all run in datacenters around the world. 

The Engineering Effectiveness team was created to multiply the ability of product teams to achieve the goal of stopping cybercrime. Over time, it became critical in the success of the engineering organization and the company.

As a key engineer on the Engineering Effectiveness team at Abnormal Security, you will create an engineering environment that enables engineers to develop and ship high quality software and deploy to production with confidence. You will own one of the fundamental areas of software development and delivery and will work closely with all engineering teams to identify and pursue opportunities to make Abnormal the most comfortable place to work.

We are excited to hear from you if you thrive in fast-growing startup environments, get your motivation from the impact of the work you’re doing, and are passionate about helping people to build world-class systems.

Some areas that you will be working on:

  • CI/CD, both logic and infrastructure.
  • Build systems.
  • Local development.
  • Testing approaches and insights.
  • Effective development practices.

What you will do 

  • Own key areas of the Engineering Effectiveness team offerings, and propose and maintain the roadmap for this area.
  • Work on projects that will improve the stability of the Abnormal Security platform and the ability of other engineering teams to deliver changes to the product faster and safer.
  • Identify and address the areas where engineers have to make too many decisions that are not related to the business logic of the product.
  • Provide Engineering with the tools and workflows to test their changes reliably with less effort.
  • Actively participate in stopping cybercrime with AI. 

Must Haves 

3+ years of professional experience as a hands-on engineer building backend systems and/or platforms.
3+ years of experience working with Python. 
Experience working on or with teams like “Engineering Effectiveness”, “Engineering Productivity”, “Development Experience” or similar.
Customer obsessed: Working with our internal engineers to determine the Engineering Effectiveness roadmap.
Meeting with customers to understand their needs.
Experience leading and delivering projects end-to-end.

Nice to Haves 

Experience with creating production-ready golang applications.
Experience with creating and maintaining CI/CD systems.
Experience with Automated Canary Analysis.
Experience with resolving Python vulnerabilities.

#LI-AB2

Top Skills

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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