Senior Python Engineer

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 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. In Canada, the base salary for this role ranges from $125,000 to $209,000. In addition to base salary, we offer additional  compensation including bonus eligibility and a comprehensive benefits package.  A candidate’s specific pay within this range will depend on a variety of factors, including job-related skills, training, location, experience, relevant education, certifications, and other business and organizational needs. #li-remote #b2 #li Ready to Join Us? At Sophos, we believe in the power of diverse perspectives to fuel innovation. Research shows that candidates sometimes hesitate to apply if they don't check every box in a job description. We challenge that notion. Your unique experiences and skills might be exactly what we need to enhance our team. Don't let a checklist hold you back – we encourage you to apply. What's Great About Sophos? ·   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. ·   Our people – we innovate and create, all of which are accompanied by a great sense of fun and team spirit ·   Employee-led diversity and inclusion networks that build community and provide education and advocacy ·   Annual charity and fundraising initiatives and volunteer days for employees to support local communities ·   Global employee sustainability initiatives to reduce our environmental footprint ·   Global fitness and trivia competitions to keep our bodies and minds sharp ·   Global wellbeing days for employees to relax and recharge ·   Monthly wellbeing webinars and training to support employee health and wellbeing Our Commitment To You We’re proud of the diverse and inclusive environment we have at Sophos, and we’re committed to ensuring equality of opportunity.   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.  We want to give you every opportunity to show us your best self, so if there are any adjustments we could make to the recruitment and selection process to support you, please let us know. 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 Cybersecurity as a Service Delivered | Sophos What You Will Do Collaborate with engineering leadership, architects, product management, and cross-functional teams to define technical direction and feature priorities. Design and implement scalable, cloud-native microservices and REST APIs using Python, FastAPI, and Celery. Build AI-powered applications as well as the platforms and services that enable their development, deployment, and operation. Integrate and optimize data systems including Postgres, Redis, and Elasticsearch to support high-performance AI and cybersecurity workloads. Partner effectively with Product Management, DevOps, QA, and fellow developers to deliver solutions that meet both technical excellence and customer needs. Take end-to-end ownership of major features or projects from design through deployment and monitoring, working with a high degree of autonomy. Provide technical mentorship and guidance to less-experienced engineers, helping them grow their skills and deliver high-quality code. Influence architecture and design decisions across multiple services or projects, ensuring scalability, reliability, and alignment with long-term product strategy. Stay current with advances in Generative AI, cloud technologies, and cybersecurity, and bring forward ideas to keep the platform at the cutting edge. Work with Kubernetes, CI/CD pipelines, event-driven systems, and large-scale data processing to deliver robust, reliable services. What You Will Bring BS in Computer Science or equivalent experience. 5+ years of professional software development experience, including designing and building scalable microservices and REST APIs. Strong Python development skills, with experience in FastAPI or other web frameworks. Hands-on experience building and operating cloud-native applications on AWS (EKS, Lambda, S3, Bedrock, etc.). Solid understanding of containerization and orchestration (Docker, Kubernetes). Proficiency in SQL and NoSQL databases (Postgres, Redis) and experience integrating search platforms like Elasticsearch. Comfort with Unix/Linux environments and modern development workflows. Demonstrated ability to own large features or projects end-to-end; from design and implementation to deployment and monitoring, with a strong sense of accountability. Proven experience mentoring junior and mid-level engineers, fostering a culture of learning and continuous improvement. Demonstrated ability to shape technical direction at a broader scope — contributing to system architecture, cross-team initiatives, and long-term technology strategy. Able to work autonomously while taking initiative to suggest improvements, propose new ideas, and drive features forward with minimal oversight. Strong problem-solving skills with the ability to troubleshoot and debug complex distributed systems. Excellent communication skills, with the ability to collaborate across engineering, product, and research teams. Familiarity with Agile/Scrum methodologies and iterative software delivery. Familiarity with Agentic Coding tools like claude code, cursor, codex etc Nice to Have Experience integrating and deploying Generative AI or LLM-powered solutions. Understanding of AI agent architectures, retrieval-augmented generation (RAG), and conversational AI systems. Exposure to cybersecurity products (XDR, MDR, SIEM, SOAR) or adjacent security technologies. A passion for learning and experimenting with emerging AI technologies, and translating them into impactful customer-facing features.

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