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.
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.
We are Hiring for Front-end, Back-end, or Full-stack Software Engineers!
Relevant professional software engineering experience;
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.
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);
.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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