Software Engineer - Engineering Effectiveness

The Opportunity

The engineering effectiveness team at Abnormal is in charge of critical tasks to improve engineering teams’ . These tasks include providing and supporting dev environments, setting up and providing guidance to other teams regarding the most effective CI/CD frameworks, managing our source control systems, setting up our building systems, etc.

We are looking for a critical member of the engineering effectiveness team. The new member would make significant contributions to the success of the team.

Who you are:

• Passionate about improving engineering productivity
• Passionate about providing tools and frameworks to other engineers
• Treat other engineers as your customers and provide them with the best customer services

What you’ll do:

You will be responsible for improving engineering productivity, including

• Time taken to set up the development environment for new engineers
• Time taken to have a local build
• # of bugs in the production environment
• % of failed deployments
• # of deployments per day
• Time taken to conduct a production deployment

Experience you’ll need:

• Experiences in dev environment setup for different engineering teams, such as frontend and platform teams. This includes setting up local source control, IDE, testing, debugging, build, container composition, etc.
• Experiences in CI/CD tools and frameworks, especially for different languages and frameworks, such as Python, GoLang, Javascript
• Experiences in source control management systems, branch management, such as GitHub or GitLab
• Experience with build tools (especially when used in conjunction with a monorepo), such as Bazel/Pants/Buck/etc.
• Experience operating and maintaining artifact repositories (e.g. Artifactory) and the associated build processes.

• Nice to have:

  • Experiences in dev environments setup for machine learning engineers.
  • Code hygiene, such as lint, formatter
  • Performance tools
  • Capacity planning tools
  • Docker image and build

More About Abnormal Security:

Abnormal Security is defining the next generation of email security defense. Our platform uses machine learning and artificial intelligence to baseline communication content, user identity, and behavioral signals in real-time and at-scale in order to detect the abnormalities of email attacks. Customers love us because we consistently detect and stop what everyone else in the market can’t -- advanced attacks that have never been seen before -- and we do so with beautiful user interfaces and best-in-industry customer support.

Our veteran team has built some of the most enduring machine learning platforms at leading companies including Google, Twitter, Pinterest, Amazon, Microsoft, and Expanse. We are located in San Francisco,CA, New York, NY and Lehi, UT.

Our company is growing - we’re on the Forbes AI 50, selected as a Gartner 2020 Cool Vendor, and our customer base includes multiple Fortune 500 companies.

Abnormal Security is committed to creating a diverse work environment. All qualified applicants will receive consideration without regard to race, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status