As a member of the Sophos Agentic AI team, the Software Engineer II designs, builds and supports reliable AI-powered cybersecurity capabilities. The role applies sound software engineering practices to moderately scoped, varied assignments, collaborating with experienced engineers and cross-functional partners to deliver secure, scalable services and customer value.
What You Will Do
- Work with engineering leads, architects, product management and delivery partners to understand requirements, clarify technical options and contribute to implementation plans.
- Design, develop, test and maintain cloud-native microservices and REST APIs using Python and relevant frameworks such as FastAPI , FastMCP and Temporal.
- Contribute to LLM-powered applications and the supporting services used to develop, deploy, observe and operate them.
- Integrate data technologies such as PostgreSQL, Redis and Elasticsearch, following established patterns for performance, reliability and maintainability.
- Deliver assigned features or components through design, implementation, code review, testing, deployment and production monitoring, seeking guidance for complex or unfamiliar work.
- Investigate and resolve defects in distributed systems using structured analysis, logs, metrics and appropriate debugging tools.
- Contribute to containerised and event-driven services using Docker, Kubernetes, CI/CD pipelines and AWS services.
- Write clear, maintainable and well-tested code, and participate constructively in peer reviews and technical discussions.
- Collaborate with Product Management, DevOps, Quality Assurance, security specialists and other developers to manage dependencies and support iterative delivery.
- Apply secure development, data-handling and responsible AI practices, including appropriate verification of AI-assisted outputs and use of approved tools and accounts.
- Share knowledge with colleagues, contribute to team documentation and provide task-specific support to less-experienced team members where appropriate.
- Keep technical knowledge current in software engineering, cloud technologies, Generative AI and cybersecurity, and suggest practical improvements within the team’s scope.
What You Will Bring
- Degree in Computer Science, Software Engineering or a related discipline, or equivalent practical experience.
- Relevant professional software development experience delivering production code within a collaborative engineering environment.
- Practical development of web services, microservices or REST APIs using Python or a comparable language.
- Involvement across the software delivery lifecycle, including design, implementation, testing, deployment and operational support.
- Application of structured problem-solving to varied technical issues within established engineering standards and practices.
- Sound Python development skills and the ability to produce readable, maintainable and tested code.
- Working knowledge of API development and a framework such as FastAPI, Flask or Django.
- Working knowledge of AWS services and cloud-native application concepts.
- Working knowledge of Docker, Kubernetes, CI/CD and Unix/Linux development environments.
- Ability to use SQL and data stores such as PostgreSQL or Redis; ability to learn related platforms such as Elasticsearch.
- Ability to analyse technical information, exercise judgement within defined practices and escalate appropriately when risk or complexity exceeds role scope.
- Clear written and verbal communication, with the ability to work productively across engineering and product disciplines.
- Ability to use approved AI-assisted development tools responsibly, verify generated outputs and protect confidential, customer and personal data.
- Contribution to Generative AI, large language model or AI-enabled software solutions.
- Work with cloud-native or distributed systems in a cybersecurity, data-intensive or similarly complex domain.
- Task-specific coaching, knowledge sharing or support for peers or less-experienced colleagues.
- Knowledge of Temporal, event-driven architectures or large-scale data processing.
- Understanding of AI agent patterns, retrieval-augmented generation or conversational AI systems.
- Knowledge of cybersecurity products or concepts such as XDR, MDR, SIEM or SOAR.
- Familiarity with AI-assisted coding tools such as Claude Code, Cursor or Codex.
Skills Required
- Degree in Computer Science, Software Engineering, or a related discipline, or equivalent practical experience
- Relevant professional software development experience delivering production code in a collaborative engineering environment
- Practical experience developing web services, microservices, or REST APIs using Python or a comparable language
- Experience across the software delivery lifecycle, including design, implementation, testing, deployment, and operational support
- Structured problem-solving skills for varied technical issues
- Sound Python development skills and ability to produce readable, maintainable, tested code
- Working knowledge of API development and a framework such as FastAPI, Flask, or Django
- Working knowledge of AWS services and cloud-native application concepts
- Working knowledge of Docker, Kubernetes, CI/CD, and Unix/Linux development environments
- Ability to use SQL and data stores such as PostgreSQL or Redis, with ability to learn Elasticsearch
- Ability to analyze technical information, exercise judgment within defined practices, and escalate appropriately
- Clear written and verbal communication and ability to collaborate across engineering and product disciplines
- Ability to use approved AI-assisted development tools responsibly, verify generated outputs, and protect confidential, customer, and personal data
- Experience contributing to Generative AI, large language model, or AI-enabled software solutions
- Experience with cloud-native or distributed systems in cybersecurity, data-intensive, or similarly complex domains
- Experience with task-specific coaching, knowledge sharing, or peer support
- Knowledge of Temporal, event-driven architectures, or large-scale data processing
- Understanding of AI agent patterns, retrieval-augmented generation, or conversational AI systems
- Knowledge of cybersecurity products or concepts such as XDR, MDR, SIEM, or SOAR
- Familiarity with Claude Code, Cursor, or Codex
Sophos Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sophos and has not been reviewed or approved by Sophos.
-
Leave & Time Off Breadth — Time away is positioned as broad, with company-wide wellness days plus dedicated learning days and paid volunteer time.
-
Parental & Family Support — Family-related leave appears more comprehensive than baseline offerings, including paid parental leave, caregiver leave, and extended bereavement leave.
-
Wellbeing & Lifestyle Benefits — Wellbeing support is emphasized through always-available assistance resources and a Calm subscription, suggesting a lifestyle-oriented benefits approach.
Sophos Insights
What We Do
Cybersecurity Evolved. As a worldwide leader in next-generation cybersecurity, Sophos protects nearly 400,000 organizations of all sizes in more than 150 countries from today’s most advanced cyberthreats. Powered by SophosLabs – a global threat intelligence and data science team – Sophos’ cloud-native and AI-enhanced solutions secure endpoints (laptops, servers and mobile devices) and networks against evolving cybercriminal tactics and techniques, including automated and active-adversary breaches, ransomware, malware, exploits, data exfiltration, phishing, and more.


.png)





