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Salary
≈ $59k – $124k per year (Estimated)
Location
Remote (Canada)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Jul 10, 2026. Magnet Forensics scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Magnet Forensics is a company that specializes in providing digital forensics and incident response tools. Their solutions, such as Magnet AXIOM and Magnet GrayKey, are used by law enforcement, military, intelligence, and enterprise organizations to recover, analyze, and manage digital evidence. They offer a wide range of tools to support digital investigations, including data extraction from mobile devices, video recovery, and workflow automation.

Role Overview

We're looking for Software Engineers to join our team and help build Magnet One - a cloud-based platform that brings together digital forensic tools, case management, evidence storage, and collaboration workflows to help investigators uncover critical evidence faster. As part of this team, you'll work alongside collaborative, customer-focused colleagues, contribute across the stack, and help shape a platform used by forensic investigators around the world.

We're hiring for multiple Software Developer positions across similar teams and welcome candidates with front-end, back-end, or full-stack experience. The salary range in this job ad reflects the variety of experience levels we're considering for these opportunities.

NOTE: Candidates must reside in Canada.

What You'll Do

    • Analyze requirements, break down tasks and estimate effort;

    • Design robust, performant and secure solutions;

    • Develop efficient, modular, and maintainable software solutions;

    • Participate in code reviews;

    • Troubleshoot, debug and fix defects;

    • Take initiative, build strong teams and communicate effectively;

    • Guide best practices for building, delivering and maintaining multiple source code projects;

    • Understanding the intent of the product, and using that knowledge to make product design, and architecture decisions.

What We're Looking For

    We are Hiring for Front-end, Back-end, or Full-stack Software Engineers!

    • Relevant professional software engineering experience;

    • Post-secondary education in software engineering, computer or electrical engineering, computer science, math, or related field;
    • Strong full-stack development skills with experience on both front-end and back-end systems;

    • Proficiency with React and modern front-end web development (component design, state management, responsive UI);

    • Experience with C# and building server-side application code (APIs, services, data access);

    • Experience writing and maintaining automated tests at various levels of abstraction;

    • Ability to work cross-functionally, communicate effectively with technical and non-technical stakeholders, and collaborate in a team environment;

    • Comfortable navigating ambiguity and adapting in a fast-changing environment.

Nice To Have Skills

  • Python or other programming languages;

  • Linux environments and shell scripting;

  • Distributed data stores such as Elasticsearch, Redis, or PostgreSQL JSONB;

  • Observability and monitoring tools such as Prometheus, Grafana, or OpenTelemetry;

  • Cloud-native systems, distributed services, and SaaS platform development;

  • AWS, Kubernetes, or container-based deployment pipelines;

  • AI technologies and workflows (e.g., natural language search, agentic workflows, using AI as part of your development process);

  • Experience working in security-conscious or highly regulated environments.

Technologies You’ll Work With

    We're hiring across multiple teams, so the technologies you work with may vary by role. Some of the tools and technologies used across our teams may include:

  • .NET / C#;

  • AWS;

  • React, TypeScript, HTML, CSS;

  • REST and GraphQL APIs;

  • Automated testing (e.g., xUnit, Jest, PyTest);

  • Azure DevOps, GitLab, Git, and Jenkins;

  • Python;

  • Linux and shell scripting;

  • Docker and containerized services (e.g. Kubernetes)

  • Infrastructure-as-code (e.g. CDK)

  • Distributed, message-driven systems

  • Elasticsearch and search/indexing systems;

  • Prometheus, Grafana, and OpenTelemetry;

  • AI Coding tools such as Claude Code and Cursor.

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