Senior Director of Software Engineering

JPMorgan Chase & Co.•Jersey City, NJ

14h•$232,750 - $325,000

About The Position

As a Senior Executive Director of Software Engineering at JPMorganChase within the Treasury/CIO technology team, you will lead our efforts to promote the strategic vision, architecture, and delivery of mission-critical trading platforms supporting Treasury and CIO business functions.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
15+ years of experience in software engineering, with at least 5 years in a leadership role managing large, distributed teams
Proven track record of delivering complex trading or financial systems in a global banking environment
Expertise in modern programming languages (Java, Python, C++), distributed systems, cloud platforms, and microservices architecture
Strong knowledge of risk, compliance, and regulatory requirements impacting trading technology
Excellent communication, stakeholder management, and organizational skills
Ability to influence and drive change across technology and business teams

Nice To Haves

Deep understanding of Treasury and CIO business functions, trade execution workflows, and financial markets

Responsibilities

Lead and manage a high-performing team of software engineers, architects, and technical leads responsible for the design, development, and support of Treasury/CIO trade execution systems
Define and execute the technology strategy for trade execution, ensuring alignment with business objectives, regulatory requirements, and industry best practices
Oversee end-to-end delivery of complex projects, including requirements gathering, solution design, development, testing, deployment, and post-production support
Foster a culture of innovation, collaboration, and continuous improvement within the engineering team
Partner with business stakeholders, product owners, and other technology teams to deliver scalable, resilient, and high-performance trading solutions
Partner with quant, trading, and risk stakeholders to enable AI-based decision-making capabilities for trading and execution, ensuring explainability, governance, model validation, and regulatory compliance
Ensure robust risk management, security, and compliance practices are embedded in all technology solutions
Establish AI-based platform and application health monitoring using intelligent observability, anomaly detection, predictive alerting, incident correlation, and automated root-cause analysis to improve resiliency, and strengthen operational excellence for trading systems
Drive adoption of modern engineering practices, including Agile methodologies, DevOps, cloud technologies, and automation
Mentor and develop engineering talent, providing guidance on career growth, technical skills, and leadership capabilities