Lead Cybersecurity Architect

Lead Cybersecurity Architect

Join one of the world's most trusted financial institutions and help build the security foundation that protects millions of customers and critical business operations. At JPMorganChase, cybersecurity isn't just a function, it's a strategic priority, and your expertise will directly shape how we design, build, and defend our most critical systems across modern cloud-based technologies.

As a Lead Cybersecurity Architect at JPMorganChase within the Cybersecurity and Technology Controls organization, you are an integral part of a team that develops high-quality cybersecurity solutions for software applications built on modern cloud-based technologies. As a core technical contributor, you will identify, create, and communicate risk, mitigation options, and solutions across multiple technical areas and business functions in support of critical project goals. Your work will directly strengthen the firm's resilience posture and protect the integrity of systems relied upon by clients and colleagues worldwide.

Job responsibilities

Engage technical teams and business stakeholders to discuss and propose technical approaches that meet current and future cybersecurity needs

Define the technical target state of cybersecurity products and drive achievement of the overall security strategy

Identify opportunities to eliminate or automate remediation of recurring issues to improve the overall cybersecurity posture of software applications and systems

Lead evaluation sessions with external vendors, startups, and internal teams to assess cybersecurity design and technical capabilities for integration into existing systems and architecture

Lead communities of practice to drive awareness and adoption of new and leading-edge cybersecurity technologies across the organization

Design and embed security controls throughout the software development lifecycle, ensuring secure-by-design principles are applied from inception through production

Integrate security practices into CI/CD pipelines and DevSecOps workflows to support automated security testing, vulnerability scanning, and policy enforcement

Develop Python-based tooling and automation to support security monitoring, control validation, and vulnerability remediation

Collaborate with risk, compliance, and audit stakeholders to translate regulatory requirements into actionable technical controls

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

Required qualifications, capabilities, and skills

Formal training or certification on cybersecurity architecture concepts and 5+ years applied experience

Hands-on practical experience delivering enterprise-level cybersecurity solutions and controls

Advanced proficiency in one or more programming languages, including Python

Proficiency in all aspects of the software development lifecycle, including automation, continuous delivery methods, and CI/CD pipeline security integration, with the ability to embed security at each phase

Advanced understanding of agile methodologies, application resiliency, and security principles

Demonstrated proficiency in software applications and technical processes within a technical discipline such as public cloud, artificial intelligence, or machine learning, with practical cloud-native experience and the ability to evaluate and recommend solutions for future-state architecture

Experience effectively communicating complex security concepts to senior business leaders and non-technical stakeholders

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

Preferred qualifications, capabilities, and skills

In-depth knowledge of the financial services industry and its technology systems and regulatory landscape

Deep knowledge of one or more software platforms or applications within a large-scale enterprise environment

Industry certifications such as CISSP, SABSA, or equivalent cybersecurity architecture credentials

Familiarity with financial services compliance frameworks such as NIST, SOC 2, or PCI-DSS

Experience with zero-trust architecture principles and their practical application in hybrid or multi-cloud environments