Lead Security Engineer - Threat modeling

JPMorgan Chase & Co.; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

JPMorgan Chase & Co. in Bengaluru seeks a Lead Security Engineer to drive threat modeling and secure software architectures.

You will design, implement and validate cybersecurity solutions across applications and platforms, collaborating with cross-functional teams to mitigate risk in support of business goals. You will lead threat modeling for software, review security controls, and produce design artifacts while leveraging enterprise AI tools to accelerate analyses and ensure data handling

Qualifications

• Formal training or certification in security engineering with 5+ years of applied experience.
• Experience delivering cybersecurity solutions based on established security parameters.
• Ability to evaluate current cybersecurity technologies and optimize architecture.
• Hands-on system design, development, testing and operational stability.
• Proficient coding in one or more programming languages.
• Strong knowledge of information and network security, IT risk management, and patterns.
• Hands-on threat modeling experience for software and systems.
• CISSP or CCSP certification is preferred.
• Proven use of enterprise AI capabilities to support security workflows with strong validation.
• Ability to review AI-assisted code safety before adoption and ensure auditability.
• Knowledge of software applications and technical processes in cloud/AI/mobile domains.

Responsibilities

• Perform analysis and reporting against security risks to protect data, apps, and infrastructure.
• Conduct reviews on existing security controls with minimal oversight.
• Identify gaps in network architecture and document threats and mitigations.
• Create secure production code and maintain algorithms aligned with systems.
• Produce architecture and design artifacts for complex apps.
• Gather and visualize large data for continuous improvement of software.
• Identify hidden data patterns to improve coding hygiene and architecture.
• Contribute to security engineering communities of practice.
• Leverage AI capabilities to accelerate threat modeling and security documentation.
• Apply reuse-first, AI-assisted SDLC practices for stronger security testing.

Skills

Security engineering concepts

5+ years experience

Architecture optimization

System design

Coding proficiency

InfoSec & IT risk

Threat modeling

CISSP or CCSP

AI in security workflows

AI-assisted code review

Cloud/AI/ML familiarity

Job description

Lead Security Engineer - Threat modeling

Job Information

• Locations Ground to Fifth Floor G,H Block, EMBASSYTECH VILLAGE-PARCEL 5 OUTER RING RD DEVERABEESANAHALLI VILLA, Bengaluru, IN-KA, 560103, IN
• Apply Before 08/28/2026, 04:00 AM
• Job Schedule Full time

Job Description

We have an exciting and rewarding opportunity for you to advance your security engineering career. Join a team where your expertise shapes the future of cybersecurity.

As a Lead Security Engineer at JPMorgan Chase within the Cybersecurity and Technology Controls team, you design and deliver trusted cybersecurity architecture solutions for software applications and platforms. You collaborate with cross-functional teams to implement technology solutions and communicate risk and mitigation options using best practices in support of the firm’s business objectives. You play a key role in protecting the firm’s data and infrastructure.

Job responsibilities

• Perform analysis and reporting against security risks to protect data, applications, and infrastructure using modern tools
• Conduct reviews on existing security controls with minimal oversight
• Identify gaps in network architecture and create documentation of threats and mitigations for small software applications
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture
• Contribute to software engineering communities of practice and events that explore new and emerging technologies
• Uses enterprise-authorized AI capabilities within the work environment to accelerate threat modeling, vulnerability analysis synthesis, and security documentation, validating outputs and ensuring sensitive data is handled appropriately.
• 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 5+ years applied experience
• Experience creating cybersecurity solutions based on existing security parameters
• Ability to evaluate current cybersecurity technologies to recommend ways to optimize architecture
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages
• Strong working knowledge of information and network security, IT risk management, and architectural concepts and patterns
• Hands-on practical experience performing threat modeling for software applications and systems
• CISSP or CCSP certification
• 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 adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations.
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities and skills

• Familiarity with modern front-end technologies