Lead Software Engineer-Network Infrastructure Development

We have an opportunity to impact your career and provide an adventure where you can push the limits of what’s possible.

As a Lead Software Engineer-Network Infrastructure Development at JPMorganChase within the Corporate Sector- Infrastructure Platforms, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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 team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• 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 or certification on software engineering concepts, and 5+ years applied experience
• Demonstrated experience in network infrastructure development and networking engineering
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Strong experience developing software with Python, Go, JavaScript, RUST and Shell Scripting for network automation and infrastructure management, with experience leading development projects in an Agile environment with cross-functional teams
• Deep understanding of networking protocols and technologies including BGP, VRF, MPLS, IP, TCP, and UDP as applied to datacenter contexts, with hands-on experience in cloud networking architectures such as VPC, CNI, hybrid cloud connectivity patterns, and engineering experience with VMware NSX-T for software-defined networking solutions including NSX-T logical switching, routing, load balancing, distributed firewall, micro-segmentation, overlay and underlay network configuration
• Experience with CI/CD tools (specifically Jenkins) for infrastructure automation pipelines, container orchestration using Kubernetes and containerized network functions, network automation frameworks and infrastructure-as-code practices (Ansible, Terraform)
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness…