In this role, you will work on highly innovative, next-generation security technologies within our Human Risk Management (HRM) product group. Human Risk Management is a comprehensive approach to cybersecurity that focuses on understanding, measuring, and mitigating risks associated with human behaviour across an organization.
You will contribute in technical design and code quality, and will be responsible for designing and building a new, large-scale analytics database from the ground up, forming a core foundation of our risk scoring and HRM capabilities. This is a hands-on role with meaningful ownership across the full software development lifecycle.
Your day-to-day:
Lead the design and development of core backend components of a large-scale SaaS platform using Python.
Design, build, and maintain RESTful APIs and highly available management services.
Design and implement scalable distributed systems and intelligent network data-path processing.
Design, build, and evolve a new large-scale analytics database from the ground up, responsible for ingesting high-volume security signals and calculating human risk scores at scale.
Champion engineering best practices, system reliability, and maintainable code.
Contribute to in-depth code reviews, architectural guidance, and mentoring of other engineers.
What you bring to the team:
5+ years of hands-on experience building and operating complex back-end systems in production environments.
Expert-level Python skills, with a proven track record of designing, delivering, and supporting commercial-grade software.
Practical AI assisted/autonomous development experience with AI/agent tools such as Claude code, Devin, etc.
Demonstrated experience owning system design and architectural decisions, particularly for data-intensive or distributed systems.
Experience with CI/CD pipelines, automated testing, and cloud platforms (AWS, GCP, or Azure), including streaming or event-driven architectures.
Strong experience working in agile environments, collaborating across disciplines, and providing constructive technical feedback.
Bachelors degree in Computer Science or a related field, or equivalent practical experience.
