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.
- 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
- 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.
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.
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
Similar Jobs
.png)
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
