Senior Software Engineer

Magnet Forensics

5d•CA$105,000 - CA$155,000•Hybrid

About The Position

As a Senior Software Engineer working on the Cloud Forensics team, you will play a critical role in investigating, interpreting, and supporting the recovery of digital evidence from Cloud sources. Your mission is to enable robust digital investigations by developing software that authenticates, acquires, and analyzes internet data—even when it is encrypted, undocumented or inaccessible by public APIs. You will leverage reverse engineering techniques to deliver solutions that make a tangible impact for customers working on high-profile cases. NOTE: Candidate must reside in Canada.

Requirements

5+ years of professional experience in Software Engineering.
Strong proficiency in C# .NET, with ability to work in other languages as needed (e.g., C, C++, Go, Java).
Knowledge of Internet Client / Server fundamentals, architecture, and APIs (REST, GraphQL).
Knowledge of Internet Authentication and Security protocols (OAuth, TLS, SSL).
Experience with Agile development practices and effective collaboration in distributed teams.
Proven track record of shipping clean, well-tested code in collaborative environments.
Experience with AI tooling (Claude Code, Copilot, Agentic workflows).
You are curious, and won’t stop until we are able to get the data we need to support the important work of our customers (!).

Nice To Haves

Experience with Cloud forensics tools (e.g., AXIOM, Oxygen, UFED Cloud).
Familiarity with reverse engineering tools such as IDA Pro, Ghidra, Binary Ninja, or Frida.
Knowledge of cryptography concepts: keychain/keystore, AES, PGP.
Experience in Internet data mining (e.g. Playwright, Selenium).
Experience with API & IoT reverse engineering techniques.
Technical leadership experience, including mentoring and supporting peers and stakeholders.
Demonstrated presentation and team communication skills.

Responsibilities

Perform dynamic analysis of public and private internet APIs to uncover forensically valuable artifacts.
Use and customize instrumentation, debuggers, and automation tools to accelerate research and product development.
Translate research findings into proof-of-concept solutions and evolve them into robust, maintainable product code.
Design and implement performant, maintainable, and testable production code, focusing on iterative delivery to maximize customer impact.
Document findings, create internal demos, and mentor teammates through knowledge sharing and technical leadership.
Collaborate with research, product, and customer teams to ship capabilities that matter.
Analyze requirements, break down tasks, estimate efforts, and adapt to evolving business and customer needs.
Support peers through pair programming, code reviews, and mentoring, fostering a collaborative and innovative engineering environment.
Take ownership and accountability for projects, driving them to completion.