Software Engineer 2

About Us

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 .

Role Summary

The Software Engineer 2 role is focused on supporting, maintaining, and incrementally improving the automation, tooling, and release processes that help Sophos engineering teams deliver cloud-based services safely and consistently. This role is hands-on and execution-oriented, working with software engineers, platform engineers, QA, security, and release stakeholders to support CI/CD pipelines, cloud infrastructure, Kubernetes-based environments, and developer tooling. The ideal candidate has solid technical fundamentals, is eager to learn, communicates clearly, and can troubleshoot issues in Linux environments while writing practical automation in Groovy, Python, and Bash. Experience using approved AI-assisted engineering tools responsibly to improve productivity, documentation, troubleshooting, and operational insight is a plus.