Abnormal Security Logo

Abnormal Security

Back End Software Engineer II - Inbound Email Products Systems

Reposted 15 Days Ago
Remote
Hiring Remotely in USA
149K-175K Annually
Mid level
Remote
Hiring Remotely in USA
149K-175K Annually
Mid level
Join the Inbound Email Products Systems team to design, implement, and operate backend software systems, mentoring juniors and collaborating cross-functionally.
The summary above was generated by AI
About the Role

Abnormal AI is seeking a Software Engineer to join the Inbound Email Products - Systems (IEPS) team. The MSP IEPS team is responsible for Abnormal’s core Inbound Email Security product backend systems, including Remediation and Threat Log (data processing and storage). Our objective is to make Abnormal the top detection engine by enhancing stability and scalability, as well as expanding our product's impact on customers by serving a broader range of customer types.

The IEPS team develops and manages essential components of Abnormal’s flagship Email Security product, such as Remediation Flows and Customer Portal Dashboards. This is a back-end focused team, and the ideal candidate will have experience working with distributed systems at scale.

What you will do 
  • Design and execute software projects critical to Abnormal’s success in collaboration with a team of engineers, encompassing conception, design, implementation, launch, and operation. 
  • Provide guidance and mentorship for junior members of the team 
  • Collaborate with Technical Program Managers, Product Managers, and Go-To-Market teams to implement, verify, and iterate on the issues & requests coming from our customers
  • Raise the bar of excellence in engineering, actively contributing to knowledge sharing within the tea,m and participating in professional development activities.
Must Haves 
  • BS degree in Computer Science, Applied Sciences, Information Systems, or other related engineering field
  • 3+ years of industry experience on backend software development & distributed systems, designing & building software applications
  • Experience with our stack: Python and/or Go
  • Experience working with distributed teams, proficient in asynchronous and written communication
  • Experience building features & components from scratch and operating them, balancing feature development work with operational tasks
  • Open to following pre-established guidelines, coding practices, and conventions
  • You’re growth-driven & looking to increase impact & responsibility over time
Nice to Have 
  • Experience with our stack: AWS, K8, Django, Spark, Prometheus
  • Familiarity with AWS services and deployment practices.
  • Knowledge of containerization using Docker or similar technologies.

#LI-PP1

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.

Base salary range:
$148,800$175,050 USD

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.

Base pay range:
$148,800$175,050 USD
San Francisco/New York Base pay range:
$165,800$195,000 USD

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

AWS
Django
Docker
Go
K8
Prometheus
Python
Spark

Similar Jobs

52 Minutes Ago
Remote or Hybrid
Santa Clara, CA, USA
103K-175K Annually
Mid level
103K-175K Annually
Mid level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Senior Technical Support Engineer resolves technical issues for customers using ServiceNow's platform, ensuring excellent support experiences and collaboration for complex problems.
Top Skills: AIJavaJavaScriptServicenow
5 Hours Ago
In-Office or Remote
New York, NY, USA
120K-150K
Senior level
120K-150K
Senior level
Healthtech • Insurance • Software
Lead healthcare program and data implementations, ensuring successful delivery and enhancing implementation processes with a focus on client expectations.
Top Skills: Healthcare Data StandardsProject Management Tools
Junior
Digital Media • eCommerce • Gaming • Mobile • News + Entertainment
The DVD/Blu-ray Quality Control Technician reviews German language audio and subtitles for quality assurance, ensuring adherence to standards and effective communication across departments.
Top Skills: Blu-RayDvdExcelMicrosoft Office Word

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account