You’re at the forefront of delivering secure software solutions. Join us a valued member of a top-performing team.
As a Security Engineer II at JPMorgan Chase within the [insert LOB or sub LOB], you are part of an agile team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. As an emerging member of the security engineering team, you execute basic software solutions through the design, development, and troubleshooting of multiple components within a technical area, while gaining skills and experience to grow within your role.
Job responsibilities
- Executes standard security solutions in accordance with existing playbooks to satisfy security requirements for internal clients (e.g., product, platform and application owners)
- Uses enterprise-authorized AI capabilities within the work environment to accelerate vulnerability analysis synthesis and security documentation, validating outputs and ensuring sensitive data is handled appropriately.
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Applies approved tools to analyze and correlate incident data to identify, interpret, and summarize probability and impact of threats when determining specific vulnerabilities
- Supports delivery of continuity-related awareness, training and educational activities, and exercises
- Applies reuse-first, AI-assisted practices within SDLC/toolchain routines to strengthen security testing and control validation, ensuring traceability/auditability and alignment to resiliency and security expectations.
Required qualifications, capabilities and skills
- Formal training or certification on security engineering concepts and 2+ years applied experience
- Must have experience in coding (Java, Golang), overall knowledge of Software Development Life Cycle.
- Experience developing security engineering solutions
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support security engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted code/security recommendations before use, escalating when uncertain and following security and data handling requirements.
- Solid understanding of agile methodologies such as CI/CD, application resiliency, and security
- Demonstrated ability to handle moderately ambiguous requirements and own features through delivery.
Preferred qualifications, capabilities, and skills
Experience with streaming/async workloads, or distributed systems patterns (idempotency, eventual consistency).
Hands-on experience implementing LLM-powered agents or copilots in production or advanced prototypes.
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