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Vectra AI

Cybersecurity Lab Engineer

Vectra AI · Bengaluru, Karnataka, India

  • On site
  • Full-time
  • $95,000 / year
  • Bengaluru, Karnataka, India

Job highlights

  • Design and build realistic cybersecurity lab environments.
  • Simulate advanced cyber-attack scenarios for training.
  • Automate lab provisioning and management.
  • Support customer enablement and product value demonstration.
  • Collaborate with cross-functional teams on lab use cases.

About the role

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.

Benefits and Perks

Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options). Specific benefits offered varies by location, but commonly include health care insurance, income protection / life insurance, access to retirement savings plans, behavioral & emotional wellness services, generous time away from work, and a comprehensive employee recognition program.

Diversity and Inclusion

Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Key skills/competency

  • Cybersecurity Engineering
  • Cloud Engineering
  • DevOps
  • Network Security
  • Threat Detection
  • AWS
  • Azure
  • GCP
  • Automation
  • MITRE ATT&CK

Skills & topics

  • Cybersecurity Engineer
  • Cloud Engineering
  • DevOps
  • Network Security
  • Threat Detection
  • AWS
  • Azure
  • GCP
  • Terraform
  • MITRE ATT&CK
  • Lab Environment
  • Customer Training

How to get hired

  • Tailor your resume: Highlight experience in cybersecurity engineering, cloud platforms (AWS, Azure, GCP), and automation tools (Terraform, Python).
  • Showcase your skills: Emphasize your understanding of network security, threat detection, and experience building lab environments.
  • Prepare for technical questions: Be ready to discuss network fundamentals, attack simulations, and troubleshooting complex scenarios.
  • Demonstrate your fit: Articulate how your skills align with Vectra AI's mission to detect and respond to cyber threats.
  • Ask insightful questions: Prepare questions about the lab environment, customer enablement, and emerging threats to show engagement.

Technical preparation

Master AWS, Azure, or GCP services.,Practice Terraform for infrastructure automation.,Build simulated enterprise network environments.,Script common attack scenarios (e.g., lateral movement).

Behavioral questions

Describe a complex infrastructure problem you solved.,How do you ensure lab stability for users?,How would you document a new lab setup?,How do you collaborate with different teams?

Frequently asked questions

What is the primary focus of the Cybersecurity Lab Engineer role at Vectra AI?
The Cybersecurity Lab Engineer at Vectra AI is responsible for designing, building, and operating hands-on lab environments. These environments are crucial for customer training and enablement programs, simulating realistic, production-like scenarios to showcase how Vectra AI detects and prioritizes threats.
What are the key responsibilities for a Cybersecurity Lab Engineer at Vectra AI?
Key responsibilities include designing and building Vectra AI-focused lab environments, deploying and configuring the Vectra AI platform, creating attack simulations aligned with MITRE ATT&CK, automating lab provisioning using Infrastructure-as-Code, ensuring lab stability, partnering with internal teams, troubleshooting during live sessions, documenting architectures, and continuously evolving labs.
What technical skills are essential for the Cybersecurity Lab Engineer position at Vectra AI?
Essential technical skills include 3-6 years of experience in cybersecurity engineering, cloud engineering, or DevOps. A strong understanding of network security and threat detection, hands-on experience with AWS, Azure, or GCP, experience building lab/sandbox environments, knowledge of networking fundamentals, and proficiency with automation tools like Terraform, Ansible, Python, or Bash are required.
What is Vectra AI's approach to customer enablement and the role of lab environments?
Vectra AI prioritizes customer enablement by focusing on helping customers quickly realize value and build confidence in operationalizing their platform. Hands-on lab experiences are seen as a critical driver for customer adoption, ensuring they can effectively use Vectra AI to detect and stop real threats.
How does Vectra AI foster a diverse and inclusive work environment?
Vectra AI is committed to creating a diverse environment and is proud to be an equal opportunity employer. They uphold equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
What kind of professional growth can a Cybersecurity Lab Engineer expect at Vectra AI?
This role offers significant growth opportunities by allowing engineers to work with cutting-edge AI-driven threat detection technology, simulate complex attack scenarios, and contribute directly to customer success. Continuous learning is expected as labs evolve with new product capabilities and emerging threats.