Senior Python Engineer

About Us Solstice Analytics is a cybersecurity leader defending 600,000 organizations globally with an AI-driven platform and expert-led services. Solstice Analytics 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 Solstice Analytics X-Ops to deliver advanced, 24/7 threat monitoring, detection, and response. Solstice Analytics 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. Solstice Analytics 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. Solstice Analytics is headquartered in Oxford, U.K. More information is available at www.sophos.com . Role Summary As a member of the Solstice Analytics 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. 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