Abnormal AI is looking for a Software Engineer to join the Cloud Infrastructure team. This team is responsible for Abnormal’s presence in the public cloud and ensuring our use of the cloud is secure, reliable, and repeatable while meeting the needs of our engineering team.
This role includes responsibility for complex features in support of the team, focusing on automation. You should expect to work closely with engineers that are delivering new features and products for Abnormal, helping them make the most efficient use of the public cloud, while also reducing toil. The ideal candidate will be:
- Dependable and autonomous
- Able to take a clearly defined business problem (“We must deliver X feature for customer Y”) from design to review to implementation, delivering the work yourself or coordinating its delivery across a small group (1-3 people).
- An effective communicator and collaborator and willing to escalate for help when appropriate
- Willing to actively mentor and influence others both inside and outside of your team
- Committed to identifying friction in internal processes and reducing/removing it
- Work with AWS, Azure, and other cloud providers so that developers at Abnormal are able to use public cloud offerings in a secure, repeatable, and reliable manner
- Use DevOps principles in your work with public cloud providers and drive the adoption of these principles across Abnormal.
- Ensure that Abnormal’s use of public cloud technologies is efficient, both for cost and time
- Build systems for managing the public cloud using Python and/or Golang
- Provide guidance and support to internal engineering teams in their use of the public cloud
- Introduce and own new features to existing systems
- Manage your time and commitments
- Communicate clearly, both synchronously and asynchronously
- Actively seek and incorporate feedback
- Participate in the recruiting process including referrals, recruiting events, and interviews
- Bachelor’s Degree in Computer Science, Computer Engineering, or equivalent professional experience
- 6+ years experience in a similar, DevOps focused role
- 3+ years of experience working with AWS
- 3+ years experience with Linux systems and networking
- Programming experience, Python or Golang
- Experience with Infrastructure as Code (IaC), preferably Terraform
- MS degree in Computer Science, Computer Engineering or other related engineering field
- FedRamp/GovCloud
- Experience with container orchestration, preferably kubernetes and helm
- Experience with Apache Airflow
- Experience with Celery Distributed Task Queue
- Experience with algorithms and optimization
- Experience developing Infrastructure as Code (IaC) modules and building automation, preferably Terraform
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At Abnormal AI, certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page.
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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.
