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CyberCube is a leading cyber risk analytics platform trusted by 75% of top 40 European and US cyber insurance carriers. The company uses AI at its foundation to quantify cyber risk and translate it into financial impact for businesses and markets. With recent backing from Spectrum Equity and a global team across San Francisco, New York, London, and Tallinn, CyberCube is accelerating growth in the cyber risk analytics space.
This Site Reliability Engineer role is opening as an experienced team member transitions to a new chapter after seven years. You'll join a collaborative engineering team to support the performance, security, and reliability of modern, scalable cloud infrastructure.
Key responsibilities include:
- Designing, building, and maintaining scalable cloud infrastructure using Terraform, working alongside senior engineers on architecture decisions
- Contributing to CI/CD pipelines using GitHub Actions, learning best practices for secure deployments
- Supporting Kubernetes (EKS) environments and building understanding of container orchestration
- Setting up and tuning monitoring and alerting tools like Datadog and Prometheus, participating in incident response with team guidance
- Collaborating with engineering, security, and product teams to contribute ideas for infrastructure and process improvements
You should have some hands-on experience with AWS or strong self-directed learning capability, basic exposure to Infrastructure-as-Code tools like Terraform or CloudFormation, familiarity with CI/CD concepts and tools, foundational knowledge of Docker and Kubernetes, and ability to write basic Python scripts for automation. Experience with observability tools is a plus. Most importantly, you need a curious, collaborative mindset, comfort asking questions, openness to feedback, and eagerness to build toward greater ownership over time.
CyberCube offers structured onboarding with pairing from senior SREs, learning and development assistance, vision and dental coverage, extra vacation during winter holidays, flexible working hours with work-from-home options, company-supported mentorship programs, and the ability to work abroad for up to 3 months with approval. The company values AI fluency and curiosity about applying AI tools effectively.
