TRPD-26-06065
GCP AI/ML Security Engineer (Adversarial ML & Cloud Security Architecture)
Looking for a mid-senior security engineer/architect (5–9 years) focused on securing AI/ML pipelines and GCP AI infrastructure. The role covers adversarial ML defenses (model theft, prompt injection, data poisoning) plus GCP security posture reviews and enterprise cloud security architecture across services like Vertex AI, GKE, Security Command Center, IAM, VPC Service Controls, Cloud DLP, and Cloud Armor.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Full Time
- Experience
- Minimum 5 years and Maximum 9 years
Role overview
Why This Role Matters.
Looking for a mid-senior security engineer/architect (5–9 years) focused on securing AI/ML pipelines and GCP AI infrastructure. The role covers adversarial ML defenses (model theft, prompt injection, data poisoning) plus GCP security posture reviews and enterprise cloud security architecture across services like Vertex AI, GKE, Security Command Center, IAM, VPC Service Controls, Cloud DLP, and Cloud Armor.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
GCP security posture review and enterprise cloud security architecture (Security Command Center, IAM, VPC Service Controls, Cloud DLP, Cloud Armor). 50 to 70% is ok
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
GCP
Google Cloud
Vertex AI
GKE
Kubernetes
Security Command Center
SCC
IAM
VPC Service Controls
Cloud DLP
Cloud Armor
AI security
ML security
adversarial machine learning
model theft
prompt injection
data poisoning
cloud security architecture
security posture review
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
AI/ML pipeline security
Adversarial ML defense (model theft, prompt injection, data poisoning)
GCP security posture review
Enterprise cloud security architecture on GCP
Google Cloud IAM (identity and access management)
Security Command Center (SCC)
VPC Service Controls
GKE (Google Kubernetes Engine) security
Vertex AI security considerations
Cloud DLP
Cloud Armor
Preferred
Nice to Have
Kubernetes security best practices (beyond GKE specifics)
Threat modeling for ML systems
Container security and image supply-chain controls
Security monitoring and alerting for cloud workloads
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for GCP AI/ML Security Engineer (Adversarial ML & Cloud Security Architecture)
One page, about two minutes. We only ask for what we actually need to have a first conversation.