Senior Specialist - Architecture

LTIMindtree Limited

$110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in cloud security architecture, focusing on Google Cloud Platform (GCP).
  • Proficient in GCP services such as IAM, VPC, Cloud Run, GKE, Big Query, and Cloud Storage.
  • Skilled in assessing data protection measures for regulated data types like PII and PCI.
  • Strong knowledge of API security mechanisms including OAuth and token management.
  • Familiar with network security concepts including firewalls and segmentation in hybrid cloud scenarios.
  • Experience in threat modeling and conducting architecture risk assessments.
  • Understanding of logging and SIEM integrations for enhanced security monitoring.

Responsibilities

  • Evaluate the overall architecture for data security and privacy vulnerabilities.
  • Inspect security controls for GCP services, including IAM and network segmentation.
  • Enforce encryption and data access standards through Sentinel policies.
  • Implement database activity monitoring and establish blocking rules in GCP.
  • Assess risks related to AI, including data leakage and knowledge access.
  • Generate comprehensive reports detailing findings, risk ratings, and remediation strategies.
  • Review data flows within various GCP projects and integration points.

Benefits

  • Opportunity to work with advanced AI technologies and cloud platforms.
  • Engagement with high-profile projects in a rapidly evolving field.
  • Flexible working environment with potential for remote work.
  • Access to continuous training and professional development resources.
Full Job Description
Role description

Data Security Architecture Assessment

Cloud Security Consultant.

Focus Security assessment of GCP based conversational AI telephony API and backend integration architecture.

Responsibilities

Assess the endtoend architecture from a data security and privacy standpoint .

Review security controls for GCP Shared VPC interconnects service accounts IAM and network segmentation.

Implement Sentinel policies for enforcing encryption standards and data access standardsImplement database activity monitoring and blocking rules in GCP.

Assess AI specific risks including promptcontext leakage model inputoutput handling and knowledge store access.

Produce findings report with risk ratings gaps and remediation recommendations.

Review data flows across GCP service projects.

Virtual agents conversational AI Telephony platforms API proxies.

Datastore BigQuery Cloud Storage Onprem systems of recordIdentify risks related and implement controls related to Blocking.

Customer data exposure PII handling.

Encryption in transit and at rest.

Secrets and key management Users and NHI authentication.

Database activity Logging monitoring and auditability.

Data retention and deletion

Required Skills

Strong experience in cloud security architecture preferably Google Cloud Platform.

Hands on knowledge of GCP IAM VPC Shared VPC Cloud Run GKE Big Query Cloud Storage Datastore Fire store Cloud KMS Secret Manager

Experience assessing data protection controls for PII PCI or regulated customer data.

Knowledge of API security including OAuth mTLS token handling gateways and service to service authentication.

Familiarity with network security private connectivity firewalls segmentation and hybrid cloud interconnects.

Understanding of logging SIEM integration audit trails and security monitoring.

Experience with threat modeling and architecture risk reviews.

Preferred Skills

Experience with conversational AI virtual agent platforms.

Knowledge of telephony SIP integrations and contact center platforms.

Experience with PCI DSS NIST ISO 27001 SOC 2 or financial services security standards.

Familiarity with AI data governance model safety and GenAI security risks.

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