As a Lead Software Engineer at JPMorganChase within the Cybersecurity & Tech Controls, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will design, develop, test, and implement secure software components that protect the firm27s blockchain / distributed-ledger capabilities. As a core technical contributor, you are responsible for engineering critical technology solutions across multiple technical areas within various business functions in support of the firm27s business objectives. You will work within an engineering team, partnering closely with Architecture, Cybersecurity, Risk, and product/operations stakeholders in a hands-on environment with multiple, varied stakeholders.

Job responsibilities

• Design, develop, test, and deploysecurity monitoring controls, with a focus on block chain security
• Build and maintainmodern toolingusing API-first design, microservices and/or event-driven patterns, with strong non-functional focus (resilience, performance, scalability).
• Engineer and operateCI/CD pipelineswith automated testing and security guardrails (code quality checks, dependency scanning, secrets scanning, policy gates).
• Define and executesecure SDLCpractices including threat modeling, secure code review, vulnerability remediation, and secure configuration standards.
• Collaborate with cross-functional stakeholders to ensuretimely, accurate integrationof blockchain-related security telemetry and operational requirements.
• Providetechnical leadership and mentorshipthrough design reviews, code reviews, and engineering best-practice adoption across squads.
• 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.
• Support production reliability throughoperational readiness, incident triage/root cause analysis, and continuous improvement.
• Perform technical evaluation duringproof-of-concept / vendorassessments, providing SME input into architecture and product decisions.

Required qualifications, capabilities, and skills

• Obtain 5 plus years of experience engineering a security analytics platform (Splunk or equivalent), within a large-scale or global enterprise, and a Bachelor27s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines
• Command of a programming/scripting language for automation and integration tasks.
• Expert understanding of data management concepts in the context of a security analytics platform, including; ingestion, parsing and normalization.
• Strong analytical and problem solving mindset with the ability to solve complex challenges.
• Experience working in an Agile team environment, working with at least one of the common Agile frameworks.
• General understanding of organizational Cybersecurity practices, risk management, security architecture, and engineering.
• 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.
• General understanding of national and international laws, regulations, policies and ethics related to financial industry cybersecurity

#CTC

• #CTC