Technical Lead, Engineering

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October 29

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Magnet Forensics

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Security • Enterprise

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. Magnet Forensics aims to enhance the efficiency and accuracy of digital forensics processes across various sectors.

201 - 500 employees

Founded 2009

🔐 Security

🏢 Enterprise

💰 $74.4M Post-IPO Secondary on 2021-12

📋 Description

• Set and communicate a compelling multi-year technical vision that aligns with organizational goals and supports the health of the teams in partnership with the Director, Engineering. • Act as a multiplier by mentoring individual contributors and collaborating with managers to foster leadership and technical growth. • Provide constructive technical feedback to Director, Engineering on team and individual performance. • Drive development efficiency with the support of AI tooling and data to make recommendations. • Participate actively in code and architecture reviews, promoting robust and sustainable patterns. • Guide team in making effective trade-offs between user experience, business priorities, and technical sustainability. • Support Product Managers with technical input for roadmap development, anticipating technical challenges. • Communicate technical vision through visuals, documentation, and knowledge transfer. • Liaise with stakeholders across engineering and product to align on deliverables. • Work with other Technical Leads and Engineering members to align on architecture vision to make sure we’re solving the right pieces of the overall puzzle. • Travel: 5-10%.

🎯 Requirements

• Bachelor’s degree in: Computer Science, Software Engineering, or equivalent practical experience. • Minimum 10 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, ElasticSearch, DevOps practices including infrastructure as code, SRE, and CI/CD. • 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). • Enthusiasm for using Agentic AI in software development and hands-on familiarity integrating AI tools into production workflows, to drive development and accelerate our experimentation with LLMs and multi-context frameworks. • Demonstrated ability to translate complex AI concepts into business and product strategies. • 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.

🏖️ Benefits

• Generous Time Off Policies • Competitive Compensation • Volunteer Opportunities • Reward and Recognition Programs • Employee Committees & Resource Groups • Healthcare and Retirement Benefits