Motion Recruitment
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
Posted by:
Jon Szynalski
Specialization :
Cloud Security Cloud Engineer
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
Posted by:
Jon Szynalski
Specialization :
Cloud Security Cloud Engineer