Software Engineer; Brain Team

Who We Are;
What We Do;
Where We’re Going

Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT‑related devices. We are continually innovating so our customers can deploy advanced and effective tools to protect their companies, communities, and countries.

Serving thousands of customers globally, our solutions are playing a crucial role in modernizing digital investigations, helping investigators fight crime, protect assets, and guard national security.

With employees based around the world, Magnet Forensics has been expanding our global presence. As a part of Magnet Forensics, you can expect to make a difference in the world, no matter what role you play. You’ll be supported through learning and development, not to mention an incredible team with unbelievable talent and integrity.

If you think you would be the right person to join our team working towards this goal, we would love to hear from you!

We are looking for a skilled Software Engineer to join our team in designing, building, and optimizing our AI capabilities. As part of the Brain team, you will help create and improve software systems that surface critical leads and insights for forensic investigators, ensuring fast, relevant, and accurate results. You’ll collaborate closely with Product, UX, and Engineering teams to develop scalable and high‑performance solutions for complex digital forensics workflows.

This role offers the opportunity to work on challenging problems and contribute to building state‑of‑the‑art systems within a growing platform.

• Work across the stack (server‑side application code, client applications, database, cloud infrastructure)
• Contribute to system performance improvements by analyzing data, identifying bottlenecks, and implementing optimizations across multiple areas of the system
• Own critical system components, working to improve both functionality and user impact
• Support the deployment, monitoring, and scaling of cloud‑based systems
• Collaborate with cross‑functional teams to build innovative solutions for our platform
• Take a data‑driven approach, working in tight feedback loops to iterate and enhance features

• Experience with cloud‑native systems and building scalable software solutions
• Familiar working with one or more major front‑end web frameworks (e.g. React, Vue, Angular)
• Familiarity with distributed systems, event processing, cloud infrastructure, and optimizing system performance
• Strong programming, analytical, and problem‑solving skills, with a data‑driven mindset
• Naturally curious and willing to learn. Comfortable in navigating ambiguity and fast‑changing environments
• Ability to work cross‑functionally, communicate effectively with technical and non‑technical stakeholders, and collaborate in a team environment
• Experience writing and maintaining automated test suites at various levels of abstraction
• 3+ years of experience in software engineering, working on production systems
• Languages and technologies we use and teach include: C#, Python, and AWS

• Familiarity with AI technologies (e.g., natural language search, MCP, agentic workflows)
• Understanding of modern search techniques like graph‑based search or retrieval‑augmented generation (RAG)
• Experience or willingness to use AI as part of your development process and workflows

The Compensation range is for the primary location for which the job is posted. Please note that the actual compensation may vary depending on location and job‑related factors such as qualifications, experience, knowledge and skills. If you are applying for this role outside of the primary location and you are selected for an interview, the Talent Acquisition Partner can share more information with you.

If the compensation structure for the role includes an incentive component (i.e. most Sales roles) the range below represents total target compensation (TTC) (base salary + variable).

$90,000 - $140,000 (CDN) a year

Salary range (min - max)

Position Type: New Position