We are looking for a Full Stack Software Engineer to join the our dynamic team and help build Magnet One - our platform for digital forensics workflows. As a part of this team you will contribute to a collaborative, customer-obsessed team where you'll work across the stack, ship with urgency, and help shape a platform used by forensic investigators worldwide.
Design and implement full-stack features across M1 SaaS portal from React-based UI components to C# backend services;
Contribute to the intuitive workflows including shared navigation, unified theming, and consistent user workflows across products;
Build and improve case management capabilities on M1 SaaS portal;
Collaborate with Product, UX, and fellow engineers to break down work, iterate quickly, and deliver customer-focused solutions;
Work within a cloud-native SaaS environment — deploying, monitoring, and scaling services on shared SaaS infrastructure;
Participate in code reviews, technical discussions, and cross-team coordination to drive innovation and maintainable architecture;
Adapt to evolving business and customer needs in a fast-moving, micro-platoon delivery model.
1+ years of 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);
Solid problem-solving skills and a curious, resourceful mindset;
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;
You like working in a collaborative environment with smart and passionate people.
Familiarity with AI technologies and workflows (e.g., natural language search, agentic workflows, using AI as part of your development process);
Experience with cloud-native systems, distributed services, and SaaS platform development;
Familiarity with AWS, Kubernetes, or container-based deployment pipelines;
Experience with digital forensics, legal tech, or enterprise SaaS products.
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