Security Engineering Lead: AI-Driven Cloud Security

JPMorgan Chase; Plano (TX); On-site; USD 171,000 - 260,000; Full time

Benefits offered by this job

Health care coverage

On-site health centers

Retirement savings plan

Tuition reimbursement

Job summary

JPMorgan Chase seeks a Senior Lead Software Security Engineer to join an agile team delivering trusted technology products with secure, scalable design. The role emphasizes strong security, high-quality code, and collaboration across disciplines in a fast-paced environment.

You will drive security across API-first services, guide teams, and leverage AI-assisted risk analysis within the SDLC, while shaping engineering practices and contributing to a culture of inclusion and excellence.

Qualifications

• 5+ years building API-first services with security in mind.
• Hands-on experience in system design, development, testing, and operations.
• Proficiency across multiple languages (C#, C++, Go, Python, Java).

Responsibilities

• Provide technical guidance to teams, contractors, and vendors.
• Develop secure production code and review others' code.
• Influence product design and operations; act as a subject matter expert.
• Contribute to SDLC frameworks, tools, and practices.
• Encourage use of leading-edge technologies and inclusive team culture.
• Utilize enterprise AI capabilities to accelerate security risk analysis.
• Apply reuse-first, AI-assisted practices for security testing and traceability.

Skills

API-first development

C#

C++

Go

Python

Java

Cloud computing

Security engineering

AI-enabled security

Education

Computer Science / Engineering / Mathematics

Tools

API Gateway Development

Custom proxy development

SSE / SIEM integration

Job description

JPMorgan Chase seeks a Senior Lead Software Security Engineer to join an agile team delivering trusted technology products with secure, scalable design. The role emphasizes strong security, high-quality code, and collaboration across disciplines in a fast-paced environment.

You will drive security across API-first services, guide teams, and leverage AI-assisted risk analysis within the SDLC, while shaping engineering practices and contributing to a culture of inclusion and excellence.