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Salary
≈ $139k – $294k per year (Estimated)
Location
In office (Columbus)
Seniority
Staff · 5+ years exp
Visa
H-1B filings in 12 months: 3,429 · for this role: 88 · green card filings: 933

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Sep 23, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

Join a team where you can play a crucial role in shaping the future of a world-renowned company and make a direct and meaningful impact in a space designed for top performers.

As a Senior Lead Security Engineer at JPMorgan Chase within the Cybersecurity Technology & Controls, you are an integral 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. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains.

Job Responsibilities

  • Facilitates security requirements clarification for multiple networks to enable networks with multi-level security to satisfy organizational needs
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate security risk analysis and documentation (e.g., synthesizing threat assessments), validating outputs and ensuring sensitive data is handled appropriately.
  • Works with stakeholders and senior business leaders to recommend business modifications during periods of vulnerability
  • 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.
  • Appy leadership knowledge, by leading others, providing feedback, support and demonstrate core values.

    Required qualifications, capabilities and skills

  • Formal training or certification on security engineering concepts and 5+ years applied experience in leading a team.
  • Skilled in planning, designing, and implementing enterprise level security 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 security recommendations before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations.
  • Advanced in one or more programming language(s) with ability to tackle design and functionality problems independently with little to no oversight
  • Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Extensive experience with threat modeling, discovery, vulnerability, and penetration testing

    #CTC

Required Qualifications, Capabilities, and Skills

  • Experience running teams of engineers that deliver security solutions operations and experience building security engineering products and solutions
  • Experience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for security engineering workflows, including validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted security recommendations before adoption, escalate uncertainty appropriately, and ensure outcomes align to security, resiliency, and auditability expectations.
  • Experience leading teams of technologists and ability to guide and coach teams on approach to achieve goals aligned against set strategic initiatives
  • Experience hiring, developing, and recognizing talent
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