Senior Python Engineer

Sophos is a cybersecurity leader defending 600,000 organizations globally with an AI-driven platform and expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection, and response.

 

Sophos offers industry-leading managed detection and response (MDR) alongside a comprehensive portfolio of cybersecurity technologies — including endpoint, network, email, and cloud security, extended detection and response (XDR), identity threat detection and response (ITDR), and next-gen SIEM. Together with expert advisory services, these capabilities help organizations proactively reduce risk and respond faster, with the visibility and scalability needed to stay ahead of evolving threats.

 

Sophos goes to market with a global partner ecosystem, including Managed Service Providers (MSPs), Managed Security Service Providers (MSSPs), resellers and distributors, marketplace integrations, and cyber risk partners, giving organizations the flexibility to choose trusted relationships when securing their business. Sophos is headquartered in Oxford, U.K. More information is available at www.sophos.com.

As a member of the Sophos Agentic AI team, the Senior Software Engineer II plays a key role in shaping and delivering AI-powered cybersecurity solutions. This role works closely with engineers, architects, product management, and cross-functional stakeholders to drive the team’s vision at scale.

The Senior Software Engineer II contributes as a hands-on developer while also providing broader technical leadership — setting direction for architecture and design, mentoring peers, and influencing multiple projects or services.

An ideal candidate will have a proven track record of building complex, scalable systems and a deep interest in Generative AI and its applications in cybersecurity. Experience with AI agents, or applied LLMs is highly valued, along with the ability to anticipate challenges, drive technical strategy, and solve real-world security problems using cutting-edge technology.