Description
The Senior Security Engineer will help build and operate security observability capabilities across SaaS applications, homegrown applications, and cloud environments, and endpoints.
Key Responsibilities:
- Design, automate and implement continuous security monitoring for SaaS, homegrown applications, cloud and endpoints.
- Translate security requirements into measurable configuration baselines and monitoring controls.
- Build and maintain integrations across tools like Axonius, Wiz, Splunk, ServiceNow, Jira, Tines, identity, endpoint, code, and CI/CD systems.
- Determine which telemetry can be centralised in our tools and design solutions for remaining coverage gaps.
- Develop dashboards that provide application owners with a consolidated view of configuration drift, vulnerabilities, control failures, identity risks, logging gaps, and open remediation items.
- Create and tune monitoring rules to improve detection accuracy and reduce false positives.
- Automate ticket creation, risk routing, escalation, remediation validation, and ticket closure.
- Lead onboarding of critical and high-risk applications into the monitoring programme.
- Partner with application owners to remediate findings and validate that risks have been resolved.
- Support remediation campaigns and measure risk reduction across participating applications.
Required Qualifications:
- Strong experience in security engineering, security architecture, security observability, AI, application security, cloud security, vulnerability management, or security operations.
- Experience integrating security platforms through APIs, connectors, webhooks, or event-driven workflows.
- Hands-on experience with SIEM, SSPM, cloud security, AI, asset inventory, or workflow automation platforms.
- Working knowledge of SaaS security configurations, cloud services, Kubernetes, identity controls, logging, vulnerabilities, and application architectures.
- Ability to automate workflows using Python, APIs, Tines, or comparable technologies.
Preferred Qualifications:
- Experience with Axonius, Wiz, Splunk, Jira, ServiceNow, and/or Tines.
- Experience building security dashboards and normalising data across multiple sources.
- Knowledge of endpoint security and monitoring local AI models, agents, MCP usage, and AI-assisted development tools.