Senior Lead Software Engineer - Platform Engineering - Team Lead

In this role you lead a high-performing squad within the Cloud Platform Engineering team at JPMorganChase, driving scalable platform initiatives that align with business outcomes and regulatory requirements. You bridge technical strategy with business goals while growing engineering talent and fostering a diverse, inclusive culture. You own end-to-end delivery, establish standards, and oversee incidents and automation to improve reliability. You will shape the platform to enable secure, scalable, AI-enabled development across teams, delivering meaningful impact for customers and stakeholders.

• Provide direction, oversight, and coaching for a team of software engineers, fostering an inclusive, high-performance culture
• Oversee end-to-end delivery of platform initiatives, translating requirements into technical roadmaps and ensuring operational stability
• Drive engineering standards and best practices, promoting high-quality code, robust release processes, and scalable infrastructure
• Partner with senior leadership to set the long-term technical vision for the platform, aligning with business outcomes and regulatory requirements
• Champion a 'you-build-it-you-run-it' culture, overseeing incident response and identifying opportunities to automate remediation
• Ensure successful collaboration across teams and stakeholders, driving consensus on architectural and delivery trade-offs
• Identify and mitigate risks to execute a book of work, contributing to communities of practice and adoption of leading-edge technologies
• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations and ensures consistent validation, security, resiliency, and reuse of proven patterns
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets

• Formal training or certification on software engineering concepts and advanced applied experience
• Proven people-management or team-lead experience with coaching engineers and driving performance
• Strong background in software engineering, including system design, cloud native systems, and Kubernetes
• Ability to guide technical decisions and evaluate designs across complex, distributed systems
• Experience managing complex technical delivery in an agile environment
• Exceptional communication skills with the ability to influence technical and non-technical stakeholders
• Ability to translate business objectives into team-level tasks and priorities
• Experience managing production systems, including incident response and reliability engineering
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including governance, measuring outcomes, and secure handling of inputs/outputs
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, resiliency/security implications, and scaling patterns

• strong communication
• leadership
• influence
• cloud native systems
• Kubernetes
• AI-assisted development and delivery tools