JPMorgan Chase
Lead Software Engineer-Network Infrastructure Development
$157K–$215K
Jersey City, NJ · Full-time · Posted Oct 7, 2026
- Experience
- 5+ years applied experience; the posting also asks for demonstrated networking and software-development experience without specifying additional years.
- Education
- Formal training or certification on software engineering concepts.
About the job
Leads development of software-defined networking and network automation solutions across datacenter and multi-cloud infrastructure, while guiding engineering practices and team use of authorized AI tools.
What you'll do
- Lead delivery of SDN solutions, network orchestration, automation frameworks, APIs, and infrastructure-management platforms.
- Collaborate across infrastructure, security, and product teams to design, test, troubleshoot, and improve reliability and performance.
- Mentor engineers and establish team practices for validating AI-assisted engineering outputs and adopting reusable automation patterns.
What they ask for
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Demonstrated experience in network infrastructure development and networking engineering; hands-on system design, application development, testing, and operational stability.
- Software development experience with Python, Go, JavaScript, RUST, and Shell Scripting; networking knowledge including BGP, VRF, MPLS, IP, TCP, UDP, and VMware NSX-T.
- Experience with Jenkins, Kubernetes, Ansible, Terraform, and enterprise-authorized AI-assisted development tools, including responsible-use and output-validation practices.
Nice to have
- Experience with Cisco ACI, Calico, OVN, Cilium, network visibility and analytics tools, or network virtualization platforms.
- Knowledge of policy-as-code, network security automation, or zero-trust architecture; relevant cloud networking certification or experience with Claude Code, GitHub Copilot, or SDD.
Pay
USD 156,750.00-$215,000.00 base salary
Tools
Python, Go, JavaScript, RUST, Shell Scripting, Jenkins, Kubernetes, Ansible
AI focus
Leads adoption of enterprise-authorized AI-assisted engineering for coding, code review, testing, troubleshooting, and incident/root-cause analysis; sets validation and responsible-use practices, including security and data-sensitivity controls.
Model-written summary · the original posting is authoritative