Security Engineer

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.
• · Strong AI understanding: how to use AI and create agents to help automate processes and tasks
• ·Understand security architecture and where risks are presented in a security review
• · 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.
• · Escalate critical, high-risk, or overdue findings according to established security standards.
• · Partner with AI security teams, consulting teams, ID&R, identity, cloud security, software security, privacy, and other specialist teams.
• · Document architectures, data flows, monitoring coverage, control logic, operational procedures, and technical decisions.
• · Mentor less-experienced engineers and serve as a technical backup to the Observability Technical Lead.

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.
• ·Experience translating security requirements into technical monitoring and validation logic.
• · Strong troubleshooting, documentation, stakeholder management, and risk analysis skills.
• · Ability to independently lead complex technical work from discovery through production implementation.

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.
• · Experience with root-cause correlation, automated remediation validation, and configuration-drift monitoring.
• ·Familiarity with AI security risks and production AI monitoring.
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