Staff Software Engineer

Magnet Forensics

11d

About The Position

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. Youâll 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! Your Role Weâre looking for a seasoned Staff Software Engineer who thrives on technical depth and broad influence. Youâre as comfortable designing architecture as you are shipping code, and you care deeply about developer experience, scalability, and performance. Youâve likely led modernization efforts, built shared frameworks or design systems, and enjoy helping others adopt better patterns at scale. As a Staff Software Engineer on the Cloud Engine Team, youâll play a pivotal role in scaling our cloud-native data processing engine, ensuring it meets the demands of performance, reliability, and future growth. Youâll collaborate closely with Senior Engineers, Product Managers, and UX Designers to architect robust solutions, drive informed design decisions, and champion best practices. Beyond technical leadership, youâll actively mentor and empower the teamâmultiplying their skills and fostering a culture of continuous improvement and innovation. This is a hands-on technical leadership role: Part Architect, Part Builder, and Part Mentor. Youâll lead by example, designing a scalable data processing system, modernizing legacy codebases, and guiding engineering teams toward better patterns, tooling, and practices. NOTE: Candidates must reside in Canada or The United States.

Requirements

Bachelorâs degree in: Computer Science, Software Engineering, or equivalent practical experience.
Minimum 8+ years of professional experience in Software Engineering.
Hands-on experience with cloud platforms (e.g. AWS, Azure, GCP), with a track record of improving scalability, performance, monitoring and cost-efficiency.
Proficiency in several of C#/ASP.Net Core, Python, PowerShell, AWS, Docker, Kubernetes, Open Telemetry, SQL, and ElasticSearch.
Demonstrable depth and breadth of expertise across multiple domains (e.g. systems design, networking, distributed systems, cloud-scale development and operations, architecture, performance-optimized algorithms).
Proven ability to establish credibility with all levels, with technical and non-technical audiences, and to influence teams to support change management initiatives.
Strong aptitude for learning and teaching others about new technologies.
A proven track record of shipping pragmatic solutions, balancing technical vision with delivery.
Excellent mentorship and leadership skills, with the ability to guide and challenge senior developers.
Clear and confident communication: you can explain tradeoffs, document patterns, and build trust across Engineering, Product, and UX.
Comfortable leading by example: rolling up your sleeves to prototype ideas and prove out new patterns, then scaling those patterns widely through evangelism and mentorship.

Nice To Haves

Experience in delivering compelling technical narratives and plans to an executive audience.
Deep understanding of AI systems including: LLM architectures, token generation, and token/context management & Multi-modal and multi-context processing (MCP) frameworks.
Enthusiasm for using agentic AI and other modern practices as a key part of the SDLC (!)