Lead Security Engineer - IOT Asset Intelligence

Take on a crucial role where you'll be a key part of a high-performing team delivering secure software solutions.

Make a real impact as you help shape the future of software security at one of the world's largest and most influential companies.

As a Lead Security Engineer at JPMorganChase in the IoT Visibility space, you are part of an agile team working to build a firmwide IoT security program that protects non-traditional endpoints across the enterprise.

As an emerging member of the security engineering team, you execute software solutions through the design, development, and troubleshooting of multiple components within the IoT visibility platform, while gaining the skills and experience needed to grow within your role.

Your most immediate focus will be on telemetry pipelines, SIEM integration, and data quality - the foundational capabilities that power the program's ability to see, understand, and act on IoT device risk at scale.

Familiarity with AI tools and the ability to apply them to accelerate delivery and improve the quality of your work is expected.

Job responsibilities



* Telemetry Pipeline Development and Maintenance: Executes the design, development, and maintenance of telemetry pipelines that collect, normalize, and route IoT device data across the enterprise visibility platform.

Works within established architectural patterns and playbooks to ensure pipeline reliability, data completeness, and performance at scale in support of real time device monitoring and security operations.


* SIEM Integration and Security Operations Support: Supports the integration of IoT visibility data into SIEM platforms, ensuring that device telemetry is correctly parsed, enriched, and mapped to detection use cases.

Works under the guidance of senior engineers and architects to improve the fidelity and actionability of IoT security alerts.


* Data Quality and Normalization: Contributes to data quality initiatives across the IoT visibility program, identifying gaps, inconsistencies, and normalization issues in device telemetry and asset inventory data.

Develops and maintains automated checks and remediation workflows to support data integrity across downstream systems including CMDB and vulnerability management platforms.


* Security Solution Execution: Executes standard security engineering solutions in accordance with existing playbooks and architectural guidance to satisfy security requirements for internal clients including product, platform, and application owners.

Applies specialized tools such as vulnerability scanners and network analysis platforms to analyze and correlate incident data, identify threats, and summarize probability and impact of identified vulnerabilities.


* AI Assisted Engineering: Actively uses AI tools to accelerate development tasks, improve code quality, automate repetitive workflows, and enhance personal productivity.

Demonstrates a growth mindset toward AI fluency as a core engineering skill.
...