Sr. Lead Software Engineer

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Sr.

Lead Software Engineer at JPMorgan Chase within the Enterprise Technology - Infrastructure Platforms Group, you are 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.

Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities



* Lead the development, implementation, and delivery of software-defined networking (SDN) solutions for software-defined datacenters, ensuring timelines, technical requirements, and network performance standards are met across highly resilient and scalable infrastructure


* Design, develop, and implement network automation solutions and infrastructure management platforms using Python, Go, JavaScript, and modern web technologies to reduce manual intervention and improve operational efficiency


* Architect and deploy SDN solutions and network orchestration systems across multi-cloud environments (AWS, Azure, GCP, Private cloud), integrating monitoring frameworks with existing tools to ensure infrastructure reliability


* Develop and maintain network automation frameworks, APIs, and tooling that integrate with network devices, controllers, and monitoring systems, writing clean, maintainable infrastructure-as-code that adheres to coding standards


* Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain


* Apply knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale


* Drive decisions that influence the product design, application functionality, and technical operations and processes


* Collaborate with network architects, security teams, product owners, and infrastructure engineers in an Agile scrum environment, conducting code reviews and troubleshooting network applications to meet performance and reliability requirements


* Mentor junior engineers on network automation and infrastructure-as-code principles while influencing technical direction by evaluating emerging SDN technologies, automation using AI tools, and DevOps methodologies

Required qualifications, capabilities, and skills



* Formal training ...