Cybersecurity Lab Engineer

Cybersecurity Lab Engineer 

Location: India (Remote) 

About Vectra AI 

Vectra AI is the leader in AI-driven threat detection and response for hybrid and multi-cloud environments. Our platform empowers security teams to detect, investigate, and respond to advanced cyberattacks in real time. 

As part of our Customer Enablement team, we focus on helping customers quickly realize value, build confidence, and operationalize Vectra AI within their environments. 

About the Role 

We are looking for a Cybersecurity Lab Engineer to own the design, build, and operations of hands-on lab environments that power Vectra AI customer training and enablement programs. 

You will create realistic, production-like environments that simulate attacker behaviors and showcase how Vectra AI detects and prioritizes threats across networks, identities, and cloud workloads. 

This role is critical in helping customers move from learning to real-world application. 

 

Key Responsibilities 

• Design and build Vectra AI-focused lab environments that simulate real-    world enterprise networks and attack scenarios  
• Deploy and configure Vectra AI platform components within lab environments  
• Create end-to-end attack simulations (lateral movement, credential abuse, C2 activity, etc.) aligned to MITRE ATT&CK  
• Build scalable, repeatable lab environments across cloud platforms (AWS, Azure, GCP) and/or virtualized setups  
• Automate lab provisioning and teardown using Infrastructure-as-Code (Terraform, scripts, etc.) 
• Ensure labs are stable, performant, and easily resettable for multiple concurrent users 
• Partner with Customer Enablement, Product, and Sales Engineering teams to align labs with key use cases and customer journeys  
• Troubleshoot issues during live training sessions and ensure a seamless customer experience  
• Document lab architectures, deployment processes, and playbooks  
• Continuously evolve labs to reflect new Vectra AI capabilities and emerging threat scenarios  

 

Required Qualifications 

• 3–6 years of experience in cybersecurity engineering, cloud engineering, or DevOps  
• Strong understanding of network security and threat detection concepts (NDR, lateral movement, identity-based attacks, etc.)  
• Hands-on experience with AWS, Azure, or GCP  
• Experience building lab, sandbox, or demo environments  
• Solid understanding of networking fundamentals (VPCs, traffic mirroring/SPAN, subnets, routing, DNS)  
• Experience with automation tools (Terraform, Ansible, Python, Bash)  
• Ability to independently troubleshoot complex infrastructure and security scenarios  
• Strong documentation and communication skills  

 

Preferred Qualifications

• Experience with NDR, SIEM, EDR, or similar security platforms 
• Familiarity with Vectra AI or similar threat detection technologies 
• Experience simulating adversary behaviors using MITRE ATT&CK framework 
• Exposure to packet analysis, network telemetry, or detection engineering 
• Experience supporting customer training, workshops, or demos 
• Familiarity with containerized environments (Docker, Kubernetes) 

What Success Looks Like

• Customers can seamlessly engage in hands-on labs that mirror real-world attack scenarios  
• Lab environments reliably demonstrate the value of Vectra AI across key use cases  
• Labs are scalable, automated, and require minimal manual intervention  
• Fast turnaround for new lab builds aligned to product releases and customer needs  

Why This Role Matters 

Hands-on experience is one of the most powerful drivers of customer adoption. This role ensures our customers don’t just understand Vectra AI—they know how to operationalize it to detect and stop real threats.