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We are seeking a Principal Automation Engineer to lead and drive innovation in automating detection, response, and security operations. This includes creating scalable automation frameworks for detection, incident response, and security workflows, leveraging technologies including SOAR, EDR, Machine Learning, and big data tools. The role also involves mentoring peers, collaborating with stakeholders, and continuously enhancing organizational resilience to cybersecurity threats.
Job Responsibility:
Drive the SOAR development lifecycle, in support of security operations and engineering teams
develop SOAR playbooks and logic
build integrations across SIEM, SOAR, EDR, identity platforms, and cloud-native services
write, test, and maintain automation scripts and workflows
deliver API solutions for SOC and enterprise Business Units
design and implement reusable automation services, APIs, and playbooks
maintain documentation for scripts, integrations, and workflows
debug and resolve technical issues in the automation lifecycle
apply advanced analytics, Machine Learning, and AI for security automation
partner with SOC/IR leadership and IT stakeholders to gather SOAR requirements and develop solutions
review the development of integrations and workflows to ensure anticipated outcomes
Requirements:
Bachelor’s or master’s degree in computer science, cybersecurity, data science, or related engineering field
proven experience (8+ years) in cybersecurity, with at least 3+ years in automation-focused roles
deep understanding of cybersecurity frameworks and concepts, including attack vectors, threat landscapes, and defence mechanisms
strong experience with SIEM/SOAR/ and EDR/XDR platforms and tools
experience in Machine Learning (ML) and Agentic AI applied for security use-cases
experience with anomaly detection, behavioural modeling, and predictive analytics in cybersecurity contexts
experience integrating machine learning models into security operations workflows in enterprise environments
proficiency in languages such as Python, Go, SPL, YaraL, and building automation frameworks
hands-on experience with big data technologies and cloud environments (AWS, Azure, GCP)
familiarity with regulatory requirements and compliance frameworks (e.g., GDPR, NIST, ISO 27001)
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