Overview
On Site
200k - 250k
Full Time
Skills
Generative Artificial Intelligence (AI)
Kubernetes
Terraform
Virtual Private Cloud
SST
Scripting
Python
Bash
Regulatory Compliance
System On A Chip
ISO/IEC 27001:2005
Financial Services
Finance
SaaS
Identity Management
Cloud Computing
Supply Chain Management
Security Controls
Continuous Integration
Continuous Delivery
Communication
Amazon Web Services
Cloud Security
Encryption
Machine Learning (ML)
Data Security
Security Engineering
Collaboration
Artificial Intelligence
Program Development
Mentorship
Insurance
Job Details
Job Description
Join a dynamic infrastructure team supporting secure, large-scale deployments of generative AI technologies for top-tier financial institutions. This full-time, onsite position is based in New York City and will involve working with AWS, Kubernetes, Terraform, and the latest security and monitoring tools to deploy advanced AI systems in highly regulated environments. You'll collaborate closely with internal engineering and AI teams, promoting security best practices, implementing compliance measures, and ensuring the integrity of AI-driven financial platforms.
As a Cloud Security Engineer, you'll take the lead in designing and enforcing secure-by-default architecture, integrating automated safety protocols, and enhancing the overall security of production systems. You'll spearhead efforts to safeguard sensitive financial data, develop and maintain compliance frameworks (such as SOC 2 and ISO 27001), and apply zero-trust principles across all environments.
Required Skills & Experience
5+ years of experience in cloud security engineering, infrastructure security, or related roles
Strong hands-on experience securing AWS environments (IAM, VPC design, encryption, logging, and monitoring)
Proficiency with Infrastructure-as-Code tools (AWS CDK, SST, or Pulumi)
Strong scripting/automation skills using Python, Go, or Bash
Knowledge of attacker tactics, techniques, and procedures (TTPs) relevant to cloud environments
Familiarity with compliance frameworks such as SOC 2, ISO 27001, GDPR, or CCPA
Desired Skills & Experience
Experience securing financial services platforms or handling sensitive financial data
Background in securing AI/ML infrastructure and data pipelines
Experience with Okta, Google Workspace, and SaaS identity management tools
Knowledge of zero trust architecture and cloud-native detection tools (GuardDuty, Security Hub, etc.)
Experience implementing supply chain security controls and CI/CD security practices
Excellent communication skills and ability to mentor engineering teams on security best practices
What You Will Be Doing
Tech Breakdown
60% AWS Cloud Security (IAM, VPCs, Encryption, GuardDuty, Infrastructure-as-Code)
40% AI/ML Infrastructure & Data Security
Daily Responsibilities
60% Hands-On Security Engineering and Automation
25% Cross-Functional Collaboration with Infrastructure and AI Teams
15% Strategic Security Program Development and Mentorship
The Offer
Bonus eligible
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Vacation Time
Stock Options
Join a dynamic infrastructure team supporting secure, large-scale deployments of generative AI technologies for top-tier financial institutions. This full-time, onsite position is based in New York City and will involve working with AWS, Kubernetes, Terraform, and the latest security and monitoring tools to deploy advanced AI systems in highly regulated environments. You'll collaborate closely with internal engineering and AI teams, promoting security best practices, implementing compliance measures, and ensuring the integrity of AI-driven financial platforms.
As a Cloud Security Engineer, you'll take the lead in designing and enforcing secure-by-default architecture, integrating automated safety protocols, and enhancing the overall security of production systems. You'll spearhead efforts to safeguard sensitive financial data, develop and maintain compliance frameworks (such as SOC 2 and ISO 27001), and apply zero-trust principles across all environments.
Required Skills & Experience
5+ years of experience in cloud security engineering, infrastructure security, or related roles
Strong hands-on experience securing AWS environments (IAM, VPC design, encryption, logging, and monitoring)
Proficiency with Infrastructure-as-Code tools (AWS CDK, SST, or Pulumi)
Strong scripting/automation skills using Python, Go, or Bash
Knowledge of attacker tactics, techniques, and procedures (TTPs) relevant to cloud environments
Familiarity with compliance frameworks such as SOC 2, ISO 27001, GDPR, or CCPA
Desired Skills & Experience
Experience securing financial services platforms or handling sensitive financial data
Background in securing AI/ML infrastructure and data pipelines
Experience with Okta, Google Workspace, and SaaS identity management tools
Knowledge of zero trust architecture and cloud-native detection tools (GuardDuty, Security Hub, etc.)
Experience implementing supply chain security controls and CI/CD security practices
Excellent communication skills and ability to mentor engineering teams on security best practices
What You Will Be Doing
Tech Breakdown
60% AWS Cloud Security (IAM, VPCs, Encryption, GuardDuty, Infrastructure-as-Code)
40% AI/ML Infrastructure & Data Security
Daily Responsibilities
60% Hands-On Security Engineering and Automation
25% Cross-Functional Collaboration with Infrastructure and AI Teams
15% Strategic Security Program Development and Mentorship
The Offer
Bonus eligible
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Vacation Time
Stock Options
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.