Jobs at Magnet Forensics

Lead architecture and hands-on development for a cloud-native data enrichment service. Design scalable, reliable, and high-performing solutions; establish engineering patterns, tooling, and infrastructure practices; and guide modernization efforts. Collaborate with engineering, product, and UX stakeholders, mentor senior developers, communicate technical tradeoffs, and drive adoption of effective practices across teams.

Lead architecture and hands-on development for a unified SaaS frontend platform. Design reusable UI frameworks, modernize legacy codebases, improve developer experience, and guide engineering teams on scalable patterns, tooling, security, and performance. Collaborate with engineering, product, and UX stakeholders, mentor senior developers, prototype solutions, and scale successful practices across products. The role requires backend and frontend expertise, cloud deployment, Kubernetes operations, distributed data stores, and technical leadership without people-management responsibilities.

Own production reliability and infrastructure operations for the GrayKey cloud platform. Responsibilities include AWS monitoring, incident response, vulnerability remediation, networking, IAM and Okta administration, EKS and Argo CD operations, backups, recovery testing, Terraform changes, cost optimization, automation, documentation, and compliance support. The role requires independent work during Pacific and Mountain time-zone hours and involves less than 5% travel.

Own the architecture and evolution of a mature server-rendered web UI for the Graykey platform. Establish frontend conventions, improve performance, implement testing, analytics instrumentation, real-time UI patterns, and web security practices. Collaborate with UX, product, and engineering teams while working regularly with Python and Jinja templates. Build reliable interfaces for constrained, on-premises environments and provide technical direction through code reviews and pairing.

Build and deploy enterprise automation and AI solutions across business systems, data platforms, and IT environments. Analyze business processes, identify automation opportunities, integrate platforms and APIs, test and monitor production solutions, and support adoption through documentation and training. The role requires hands-on coding, AI workflow experience, process analysis, and the ability to translate business needs into secure, practical technical solutions.

Leads the strategy, security, governance, operations, reliability, and financial management of the company’s cloud platform and shared engineering services. Builds and manages cloud and platform engineering teams, drives AWS and private-cloud capabilities, supports compliance frameworks such as FedRAMP, oversees FinOps and vendor relationships, enables AI adoption, and improves developer experience through scalable self-service tooling and operational excellence.

The Vulnerability Researcher will be responsible for developing and enhancing digital forensic software, contributing to innovative solutions for digital investigations, and demonstrating commitment to team goals and customer needs.