At a Glance
- Tasks: Engineer quality into products from day one and improve testing practices.
- Company: Join Sophos, a leader in cybersecurity protecting 600,000 organisations globally.
- Benefits: Remote-first work, diverse culture, wellbeing support, and opportunities for community involvement.
- Other info: Collaborative environment with room to experiment and influence engineering practices.
- Why this job: Shape the future of quality engineering with AI and innovative testing solutions.
- Qualifications: Experience in software engineering and automated testing, with a passion for quality.
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.
We’re looking for a Senior Software Engineer who cares deeply about building high-quality products - not just testing them after the fact. In this role, you’ll help shape how quality is engineered into our products from day one, working across software development, automation, and modern testing practices. This role includes a blend of hands-on testing and automation. You’ll design systems, build tooling, and dive into manual testing where it adds the most value - all while helping the team deliver reliable software at scale.
We’re exploring how AI can meaningfully improve quality engineering beyond code assistants, and you’ll have the opportunity to shape that journey in a practical, grounded way. If you enjoy solving real engineering problems, improving how teams build software, and taking a pragmatic approach to quality, this role will give you the space to do it.
Engineering Quality into the Product- Partner with engineers, product managers, and designers to build quality into features from the start - not bolt it on at the end.
- Help shape system design decisions to reduce defects before they happen.
- Evolve our testing approach using modern engineering practices - focusing on fast feedback, meaningful and reliable results, and developer productivity.
- Improve CI/CD pipelines so quality checks are fast, reliable, and genuinely useful (not just gates).
- Experiment with AI to improve how we test and validate software - from intelligent test generation, smarter failure analysis and self-healing approaches.
- Build or integrate tools that reduce manual effort and increase confidence in releases.
- Help establish a strong, pragmatic quality culture that developers actually value.
- Ensure quality is a shared responsibility across the team, not owned by a single individual.
- Influence engineering practices beyond your immediate team.
Strong software engineering experience (JavaScript, TypeScript, or similar). A track record of building or improving automated testing in real-world systems. Hands-on experience applying AI within quality engineering or testing contexts - for example, test generation, failure analysis, test optimisation, or similar. Ability to go beyond basic coding assistants and use AI to solve real testing or quality problems in innovative ways. Exposure to performance or security testing. Contributions to engineering communities, blogs, or open source.
Engineers move faster with more confidence because quality is built into their workflow. Testing provides fast, meaningful feedback - not noise. AI-driven approaches reduce manual effort and uncover issues earlier. The team sees quality as an enabler, not a bottleneck. You’ll be treated as a software engineer first, not a gatekeeper. You’ll have room to experiment with new ideas, including AI, and turn them into real impact. You’ll influence how software is built - not just how it’s tested.
Sophos operates a remote-first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first organization, applicants must have legal authorization to work in the jurisdiction where the position is posted, without requiring employer sponsorship.
We believe that diversity, combined with excellence, builds a better Sophos, so we encourage applicants who can contribute to the diversity of our team. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, sex, gender reassignment, marital status, race, religion or belief, color, age, military veteran status, disability, pregnancy, maternity or sexual orientation.
Data Protection: If you choose to explore an opportunity, and subsequently share your CV or other personal details with Sophos, these details will be held by Sophos for 12 months in accordance with our Privacy Policy and used by our recruitment team to contact you regarding this or other relevant opportunities at Sophos. If you would like Sophos to delete or update your details at any time, please follow the steps set out in the Privacy Policy describing your individual rights. For more information on Sophos’ data protection practices, please consult our Privacy Policy.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. If you would like more information about how your data is processed, please contact us.