Why This Job is Featured on The SaaS Jobs
This back-end engineering internship stands out in SaaS because it sits at the intersection of product infrastructure and AI-driven security. The listing points to an AI-native platform tackling modern threat patterns, which is increasingly typical of SaaS businesses that must operate at high volume and low latency while continuously adapting to adversarial change. Work centered on distributed systems, microservices, and gRPC reflects the architectural baseline for many cloud-delivered products.
From a SaaS career perspective, the role offers practice in shipping production features end-to-end rather than contributing to isolated prototypes. That kind of ownership maps directly to how SaaS engineering organizations measure impact: reliable delivery, observable performance, and iterative improvement. Daily use of AI developer tools and exposure to LLM-related workflows also builds fluency that is becoming a common expectation across modern SaaS teams.
This position is best suited to early-career engineers who prefer structured problem-solving, strong engineering hygiene (testing, clean code, debugging), and collaborative delivery through reviews and design discussions. It also fits candidates who are comfortable communicating asynchronously and who want their technical choices to connect clearly to customer-facing security outcomes.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Role
Abnormal is where you’ll do the most exciting work of your career—because we’re building the future of cybersecurity. Attackers are using AI to invent threats legacy tools can’t catch. Our mission is to stop them before they happen.
As a Back End Engineer Intern, you’ll join our engineering team to build AI-native systems that protect millions of people and organizations. You won’t be a side project. You’ll own meaningful features end-to-end, ship production-grade applications, and use AI tools daily to move faster and think bigger.
Abnormal’s Engineering Division is actively seeking passionate Back End Engineer Interns to join us on this exciting journey.
This role is based in Canada.
What You’ll Bring
- Growth mindset: eager to expand impact, responsibility, and ownership over time
- Attention to detail: care about clean code, testing, and performance
- Curiosity and collaboration: thrive in high-trust teams learning from engineers, PMs, and designers
- Communication skills: comfortable working async across global teams
- AI fluency: ready to explore LLM-powered tools and assistants in daily workflows
Must Have Skills
- 1+ years or 4+ internships of industry experience as a Back End Developer with expertise developing production grade Python, Go, and distributed systems.
- Understanding of Go, gRPC, and microservices
- Experience working with LLMs and prompt engineering
- Experience with AI Developer tools such as Copilot, Cursor, etc.
Nice to Have Skills
- Experience with Application or Network Security
- Familiarity with AWS services and deployment practices.
- Knowledge of containerization using Docker, Kubernetes, or similar technologies.
- Cybersecurity experience
What You’ll Do
- Design and Development:
- Develop robust and scalable security features using Python/Go and AI powered tools.
- You will be relied upon to own feature delivery for a Standing Team -- to design, decompose, execute, and launch. You will play the role of a highly capable feature lead, able to take a clearly defined business problem, and design a technical approach to implement.
- Testing and Debugging:
- Conduct thorough testing of applications, including unit testing and integration testing.
- Use debugging tools and techniques to diagnose and fix issues in a timely manner.
- Collaboration and Communication:
- Communicate effectively in an async manner with team members to provide updates, discuss challenges and propose solutions.
- You will be participating in code reviews to maintain code quality and in system design discussions.
- Continuous Learning and Improvement:
- Actively contribute to knowledge sharing within the team and participate in professional development activities.
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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.
