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About the Role
The Security Automation Engineer is part of ECI's Security Engineering team, focusing on building and operating the automation layer for security services at scale. This hands-on role emphasizes production Python, integration engineering, and reliable delivery, involving the design and maintenance of automation services, detection-as-code pipelines, and SOAR workflows. The role utilizes AI-assisted workflows to enhance delivery quality, reduce operational effort, and accelerate security outcomes.
Responsibilities
- Build and maintain production Python services, internal tooling, and reusable libraries for security automation.
- Build and operate detection-as-code workflows including rule lifecycle, testing, versioning, and release controls.
- Develop and maintain SOAR workflows for investigation and response orchestration.
- Engineer robust integrations across internal systems and third-party tools using REST APIs, webhooks, and event-driven patterns.
- Build and maintain CI/CD pipelines, automated tests, and quality gates for automation and detection content.
- Contribute automation capabilities that support Platform-led client onboarding, offboarding, and technology enablement processes.
- Improve reliability, observability, and maintainability of automation services through metrics, logging, alerting, and runbooks.
- Collaborate in architecture and code review practices to raise engineering standards across the function.
- Explore and apply AI-assisted engineering practices to improve automation quality, testing, documentation, and delivery efficiency.
Requirements
- Degree in Computer Science, Cyber Security, Engineering, or equivalent practical experience.
- 3+ years building and maintaining production Python applications, services, or automation systems.
- Strong software engineering fundamentals: modular design, testing strategy, error handling, code review, and maintainable code structure.
- Experience building API integrations and automation workflows in production environments.
- Practical CI/CD experience with automated testing and controlled deployment workflows.
- Proficiency with Git and collaborative development practices.
- Working knowledge of Linux administration in engineering environments.
- Working knowledge of cloud platforms and services, including IAM, networking, and secure integration patterns in AWS, Azure, or GCP.
- Foundational understanding of detection and incident response concepts within security operations.
- Interest in AI-assisted engineering, emerging technologies, and modern engineering practices that improve delivery quality and efficiency.
- Interest in evolving security threats, cyber security trends, and the changing technology landscape.
Skills
- Python
- SOAR platforms
- detection engineering
- Elastic Security
- Splunk
- Microsoft Sentinel
- MITRE ATT&CK
- Sigma
- detection-as-code
- AI-assisted capabilities
- Docker
- Kubernetes
- Git
- Linux administration
- AWS
- Azure
- GCP
- REST APIs
- webhooks
- event-driven patterns
- CI/CD pipelines
- automated testing
Experience Level
- 3+ years
Education Level
- Degree in Computer Science, Cyber Security, Engineering, or equivalent practical experience.