Lead Security Automation Engineer
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are looking for a skilled Lead Security Automation Engineer to join our SOC Automation team and play a key role in building and scaling automation across Security Operations. This is a hands-on role — you will design, develop, and integrate automation solutions across SIEM, EDR, and other security platforms, contributing to our SOAR capabilities from the ground up.
You will work in a technologically rich environment, integrating with a wide range of security and infrastructure systems across the network — a unique opportunity to build automation at scale in a greenfield setting, with real influence over the architecture and tooling decisions.
We are especially interested in candidates who are curious about leveraging AI and intelligent agents to help evolve next-generation automation and response workflows — and who want to be a driving voice in how we apply those technologies.
Your responsibilities will include:
Automation development
- Design and develop automation workflows for incident response and SOC operations
- Identify and eliminate manual processes through scalable automation
- Build reusable components and maintainable automation patterns
Engineering & integration
- Develop integrations using REST APIs, webhooks, and event-driven architectures
- Write high-quality, maintainable Python for automation and orchestration
- Implement data parsing, enrichment, and transformation across multiple systems
SOAR & platform buildout
- Lead or actively contribute to the evaluation, selection, and implementation of SOAR/automation platforms
- Design the automation architecture and integration strategy for the team
- Build automation capabilities in a greenfield environment — your decisions will shape the foundation
SOC collaboration
- Work closely with SOC analysts and incident responders to translate operational needs into automation solutions
- Improve end-to-end detection and response workflows through close partnership with the team
AI & innovation
- Actively build and evaluate AI/LLM and agent-based workflows applied to security automation
- Prototype AI-assisted enrichment, triage, and response solutions and drive them toward production
We expect you to have:
- Minimum 3 years of hands-on experience with SOAR platforms (e.g., Torq, Cortex XSOAR, Splunk SOAR, or similar)
- Strong hands-on experience with Python (or a comparable language)
- Experience designing or implementing automation frameworks or workflows
- Experience building integrations using REST APIs and web services
- Experience working with security tools such as SIEM, EDR/XDR, or ticketing systems
- Experience with at least one cloud platform (Azure, AWS, or GCP)
- Solid understanding of incident response processes and SOC alert-handling workflows
- Experience with at least one SIEM platform (Splunk,Sentinel,Qradar,Crowdstrike)
It will be an added bonus if you have:
- Experience with CI/CD pipelines and DevOps practices
