Anthropic
Engineering Manager, Detection and Response(m/w/x)
Full-timeOn-siteSenior
Zürich
New Job?Nejo!
The AI Job Search Engine
OPOpenAI
Security Engineer, Detection and Response - EMEA(m/w/x)
Zürich
Full-timeOn-siteExperienced
Nejo AI Summary
Building and evolving detection pipelines and tooling for AI security. Hands-on threat detection and incident response experience required. 4-day work week, company car for private use.
Requirements
- Hands-on threat detection and incident response experience
- Understanding of modern adversary tradecraft (TTPs)
- Threat modeling mindset
- Identification of D&R implications
- Translation of implications into concrete requirements
- Experience in Kubernetes/containerized environments
- Building detections from cluster telemetry
- Understanding of common failure and attack modes
- Reasoning about lower-level infrastructure risks
- Reasoning about datacenter risks
- Experience across major cloud platforms (Azure, AWS, GCP, OCI)
- Design of cloud-agnostic detection approaches
- Building automation for repetitive D&R work
- Thoughtful use of agent-style workflows
- Enthusiasm for new problem areas
- Detection and response to agents operating at scale
- Translation of ideas into pragmatic telemetry requirements
- Translation of ideas into pragmatic response requirements
- Clear communication
- Collaboration across teams
- Translation of D&R needs into clear requirements
- Alignment of stakeholders
- Driving follow-through across technical audiences
- Driving follow-through across non-technical audiences
- Comfort with scripting
- Use of AI/agent tooling for investigations
- Use of AI/agent tooling for automation
Tasks
- Build and evolve Detection & Response capabilities
- Engineer detection pipelines and tooling
- Develop rule lifecycle management
- Implement measurement/quality loops
- Manage tuning processes
- Create safe rollout patterns
- Automate response and investigations
- Build workflows to reduce toil
- Streamline triage and enrichment
- Improve containment and evidence capture
- Enhance time-to-understand and time-to-contain
- Partner with other Security teams
- Collaborate with system/infrastructure owners
- Ensure new systems have telemetry and threat models
- Develop response playbooks
- Define D&R requirements
- Drive visibility across endpoints, identity, SaaS, cloud, Kubernetes
- Identify telemetry/control gaps
- Prioritize telemetry/control gaps
- Advocate for fixes with partner teams
- Implement fixes directly when effective
- Evaluate emergent security concerns
- Respond to emergent security concerns
- Develop detection strategies for AI agents
- Develop response strategies for AI agents
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Kubernetes
- Azure
- AWS
- GCP
- OCI
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of OpenAI and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Not a perfect match?
- Snap Switzerland GmbH, Zurich Branch
Security Engineering Manager, Detection & Response(m/w/x)
Full-timeOn-siteManagementZürich - Anthropic
Senior Security Software Engineer, eBPF & Security Sensors(m/w/x)
Full-timeWith HomeofficeSeniorZürichfrom CHF 280,000 - 350,000 / year - Snap Inc
Security Engineer(m/w/x)
Full-timeOn-siteExperiencedZürich - Partners Group AG
IT Security Engineer(m/w/x)
Full-timeOn-siteExperiencedBaar
OPOpenAI
Security Engineer, Detection and Response - EMEA(m/w/x)
Zürich
Full-timeOn-siteExperienced
Nejo AI Summary
Building and evolving detection pipelines and tooling for AI security. Hands-on threat detection and incident response experience required. 4-day work week, company car for private use.
Requirements
- Hands-on threat detection and incident response experience
- Understanding of modern adversary tradecraft (TTPs)
- Threat modeling mindset
- Identification of D&R implications
- Translation of implications into concrete requirements
- Experience in Kubernetes/containerized environments
- Building detections from cluster telemetry
- Understanding of common failure and attack modes
- Reasoning about lower-level infrastructure risks
- Reasoning about datacenter risks
- Experience across major cloud platforms (Azure, AWS, GCP, OCI)
- Design of cloud-agnostic detection approaches
- Building automation for repetitive D&R work
- Thoughtful use of agent-style workflows
- Enthusiasm for new problem areas
- Detection and response to agents operating at scale
- Translation of ideas into pragmatic telemetry requirements
- Translation of ideas into pragmatic response requirements
- Clear communication
- Collaboration across teams
- Translation of D&R needs into clear requirements
- Alignment of stakeholders
- Driving follow-through across technical audiences
- Driving follow-through across non-technical audiences
- Comfort with scripting
- Use of AI/agent tooling for investigations
- Use of AI/agent tooling for automation
Tasks
- Build and evolve Detection & Response capabilities
- Engineer detection pipelines and tooling
- Develop rule lifecycle management
- Implement measurement/quality loops
- Manage tuning processes
- Create safe rollout patterns
- Automate response and investigations
- Build workflows to reduce toil
- Streamline triage and enrichment
- Improve containment and evidence capture
- Enhance time-to-understand and time-to-contain
- Partner with other Security teams
- Collaborate with system/infrastructure owners
- Ensure new systems have telemetry and threat models
- Develop response playbooks
- Define D&R requirements
- Drive visibility across endpoints, identity, SaaS, cloud, Kubernetes
- Identify telemetry/control gaps
- Prioritize telemetry/control gaps
- Advocate for fixes with partner teams
- Implement fixes directly when effective
- Evaluate emergent security concerns
- Respond to emergent security concerns
- Develop detection strategies for AI agents
- Develop response strategies for AI agents
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Kubernetes
- Azure
- AWS
- GCP
- OCI
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of OpenAI and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
OpenAI
Industry
IT
Description
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
Not a perfect match?
- Anthropic
Engineering Manager, Detection and Response(m/w/x)
Full-timeOn-siteSeniorZürich - Snap Switzerland GmbH, Zurich Branch
Security Engineering Manager, Detection & Response(m/w/x)
Full-timeOn-siteManagementZürich - Anthropic
Senior Security Software Engineer, eBPF & Security Sensors(m/w/x)
Full-timeWith HomeofficeSeniorZürichfrom CHF 280,000 - 350,000 / year - Snap Inc
Security Engineer(m/w/x)
Full-timeOn-siteExperiencedZürich - Partners Group AG
IT Security Engineer(m/w/x)
Full-timeOn-siteExperiencedBaar