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Lead Cybersecurity Architect - Cloud Security, Kubernetes

JPMorgan Chase
Bengaluru, IND
Full-time
Lead · 5+ years experience
Onsite
Discovered 1 weeks ago
kubernetes

Full Job Posting

Job responsibilities

  • Perform secure design reviews and threat modeling with application teams to ensure products are secure by design.
  • Demonstrate deep understanding of product strategy, roadmap, and key investment programs.
  • Identify and learn unfamiliar technology components, capabilities, and business concepts, applying critical thinking to uncover hidden issues.
  • Leverages enterprise-authorized AI capabilities within the work environment to accelerate cybersecurity architecture analysis and decisioning (e.g., risk identification and documentation), validating outputs and handling data according to sensitivity and security requirements.
  • Drives reuse-first adoption of AI-assisted security validation within SDLC/toolchain routines, improving control testing and remediation quality with traceability/auditability and resiliency expectations.
  • Share best practices and serve as the point of escalation and subject matter expert for Cybersecurity and Technology Controls.
  • Collaborate with product, technology, and business colleagues for audit, regulatory, risk, and project initiatives.
  • Work with Third Party Oversight teams to manage technology risk for vendors, focusing on cloud computing and emerging technologies.
  • Formal training or certification on security engineering concepts and 5+ years applied experience
  • Advanced knowledge of cybersecurity architecture, applications, and technical processes with expertise in one or more technical disciplines
  • Ability to design and implement effective cybersecurity and technology controls
  • Experience with cloud security posture management and vulnerability management
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support cybersecurity architecture workflows with strong validation habits and awareness of data sensitivity.
  • Ability to assess and validate AI-assisted security recommendations before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations.
  • Understanding of network security, network design, segmentation, firewalls, and cloud networking patterns
  • Experience implementing and reviewing authentication and authorization controls and best practices
  • Hands-on experience in software development with strong understanding of SDLC and secure SDLC practices
  • Knowledge of modern application architectures including microservices, APIs, Kubernetes and event-driven patterns
  • Experience with identity federation, least privilege, RBAC/ABAC concepts
  • Experience with cloud security technologies and emerging security trends
  • Strong knowledge of security best practices and DevSecOps methodologies
  • Experience working with Third Party Oversight teams and managing vendor technology risk

Required qualifications, capabilities and skills

  • Formal training or certification on security engineering concepts and 5+ years applied experience
  • Advanced knowledge of cybersecurity architecture, applications, and technical processes with expertise in one or more technical disciplines
  • Ability to design and implement effective cybersecurity and technology controls
  • Experience with cloud security posture management and vulnerability management
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support cybersecurity architecture workflows with strong validation habits and awareness of data sensitivity.
  • Ability to assess and validate AI-assisted security recommendations before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations.
  • Understanding of network security, network design, segmentation, firewalls, and cloud networking patterns
  • Experience implementing and reviewing authentication and authorization controls and best practices
  • Hands-on experience in software development with strong understanding of SDLC and secure SDLC practices
  • Knowledge of modern application architectures including microservices, APIs, Kubernetes and event-driven patterns
  • Experience with identity federation, least privilege, RBAC/ABAC concepts
  • Experience with cloud security technologies and emerging security trends

Preferred qualifications, capabilities and skills

  • Experience with identity federation, least privilege, RBAC/ABAC concepts
  • Experience with cloud security technologies and emerging security trends
  • Strong knowledge of security best practices and DevSecOps methodologies
  • Experience working with Third Party Oversight teams and managing vendor technology risk

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