Senior Lead Software Engineer, Network Test Automation Platform

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Plano, TX
Posted: 16 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $183k

$107k most similar roles pay here $243k

This listing doesn't post a salary. Most similar roles pay $144,350–$222,000.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, Network Test Automation Platform

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As a Senior Lead Software Engineer – Network Test Automation Platform within the Infrastructure Platforms team, you will join an agile team focused on building and delivering secure, stable, and scalable technology products. You will provide technical guidance to teams and vendors while driving the adoption of AI-assisted engineering practices to improve code quality and delivery speed. Your daily responsibilities include architecting infrastructure changes, managing complex programs, and promoting firmwide SDLC tools. You will utilize a diverse tech stack including Python, JavaScript, YAML, JSON, Bash, and Terraform, alongside tools like Ansible and Puppet for configuration management. The role involves managing cloud infrastructure across AWS and Azure on Kubernetes, as well as handling hardware, networking protocols like BGP and OSPF, and various hypervisor platforms such as ESXi and OpenShift to modernize technical processes.

Skills

Python JavaScript Bash YAML JSON AWS Azure Kubernetes Terraform Ansible Puppet CI/CD OpenShift VMware Hyper-V KVM BGP OSPF VXLAN MPLS SDLC

What you'll do

Provide technical guidance and direction to business teams, contractors, and vendors.
Drive adoption and governance of AI-assisted engineering practices to improve code quality and delivery speed.
Establish measurable validation standards for secure coding, peer review, and automated testing.
Influence product design, application functionality, and technical operations processes.
Analyze complex data and systems to identify risks and implement mitigation strategies.
Architect and implement changes to modernize infrastructure and technology processes.
Execute infrastructure engineering tasks in accordance with specific business requirements.
Advocate for firmwide frameworks, tools, and practices within the engineering community.

What we're looking for

Formal training or certification on software engineering concepts.
5+ years of applied experience in software engineering.
Deep knowledge of multiple infrastructure technologies and scripting languages like Python, JavaScript, YAML, JSON, and Bash.
Experience with cloud infrastructure across public and private clouds, including AWS, Azure, and Kubernetes.
Proficiency in infrastructure automation tools such as Ansible, Terraform, and Puppet for CI/CD and configuration management.
Expertise in multiple OS and Hypervisor platforms including Hyper-V, ESXi, KVM, VMware, and OpenShift.
Demonstrated experience using enterprise-authorized AI-assisted software development tools while ensuring security and data sensitivity compliance.
Knowledge of infrastructure engineering areas such as hardware, networking, databases, storage, and performance assessment.

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