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Tier-1 brand and metro location increase competition, though seniority and niche malware research moderate applicant density.
Strong cybersecurity and malware research focus limits transferability, though backend and cloud skills remain broadly applicable.
Explicit 8+ years, 3+ years management, hands-on coding and specific tech mandates enforce strict shortlisting.
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Lead and mentor an engineering team to build and maintain scalable tools and systems supporting Malware Research Center activities and related AI/ML pipelines.
Manage multiple concurrent projects, overseeing roadmap planning, execution, and quality delivery while actively engaging in hands-on coding and technical problem solving.
Integrate GenAI and AI-assisted tooling into workflows to enhance development velocity and quality, and manage stakeholder communication including reporting to senior leadership.
8+ years of software development experience in cloud or similar roles.
3+ years of engineering management experience leading teams of 6-10 engineers with multiple competing projects.
BS in Computer Science or a similar field.
Proven ability to deliver complex production-grade systems at scale with strong programming skills in Python and GoLang and hands-on coding experience.
Experienced leader capable of managing and scaling engineering teams in complex, high-throughput cybersecurity environments involving malware research.
Strong technical operator with proficiency in microservices architecture, message queues, databases, and Agile methodologies, who remains hands-on in coding and code review.
Knowledgeable in AI/GenAI technologies applied to software engineering and security research, with demonstrated ability to integrate these tools responsibly for productivity gains.