Security Engineer II, Java, AWS, AI/ML Security

JPMorgan Chase

Quick summary

Work type
On-site
Location
Bengaluru, Karnataka, India
Posted
3 days ago

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How this pay compares to similar roles

Similar $182k
$132k most similar roles pay here $235k

This listing doesn't post a salary. Most similar roles pay $152,037–$211,200.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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At a glance

TL;DR · Security Engineer II, Java, AWS, AI/ML Security

As a Security Engineer II at JPMorgan Chase in the Cybersecurity team, you will work with a dynamic group of professionals to secure AI and Machine Learning systems. Your daily tasks include identifying vulnerabilities, defining security controls, and engineering tools that enhance our security posture against emerging threats. You will collaborate across teams to implement best practices, develop and maintain Java and Python code, build microservices and APIs, and apply cloud security controls using AWS and other platforms. Additionally, you will conduct AI red teaming exercises and ensure the secure development lifecycle of models. The ideal candidate has a strong background in Java, Spring Boot, microservices architecture, and cloud computing concepts with hands-on experience in API security, container orchestration tools like Docker and Kubernetes, and SQL databases. Expertise in securing AI/ML systems and knowledge of ethical AI practices are also crucial for this role.

What you'll do

  • Identify and define security controls for AI/ML deployments.
  • Engineer tools to enhance the security of AI/ML systems.
  • Conduct red teaming exercises to simulate adversarial attacks on LLMs.
  • Implement cloud security controls using AWS and infrastructure as code tools.
  • Apply security architecture requirements across the model development lifecycle.

What we're looking for

  • Extensive experience in designing and implementing cybersecurity solutions for AI/ML systems.
  • Proficiency in Java, Spring Boot, microservices architecture, and Python development.
  • Strong understanding of cloud computing concepts with hands-on AWS experience.
  • Expertise in API security protocols (OAuth 2.0, OpenID Connect, SAML) and container orchestration tools.
  • Solid background in securing AI/ML systems and model development lifecycle.
  • Excellent problem-solving skills and strong written and verbal communication abilities.
  • Formal training or certification in security engineering concepts and related fields.

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