Senior Lead Software Engineer – Network Test Automation Platform
The Senior Lead Software Engineer will lead infrastructure automation and AI-assisted engineering practices within JPMorganChase's Corporate Sector. The role focuses on building and scaling network test automation platforms using Python, cloud technologies, and CI/CD tools.
- Compensation
- Not disclosed
- Location
- Plano, TX, United States
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Qa
- Posted
Skills
Must have
- 5+ years of applied software engineering experience
- Knowledge of infrastructure engineering (hardware, networking, databases, storage, automation)
- Proficiency in scripting languages including Python, JavaScript, YAML, JSON, and Bash
- Experience with cloud infrastructure (AWS/Azure) and migration
- Experience with OS and Hypervisor platforms (Hyper-V, ESXi, KVM, VMware, OpenShift)
- Experience leading the use of enterprise AI-assisted software development tools
- Experience with CI/CD and automation tools like Ansible, Terraform, and Puppet
Nice to have
- Knowledge of 40/100/400G Ethernet and optical transport network technologies
- Experience configuring and troubleshooting routing and switching protocols (BGP, OSPF, VXLAN, MPLS, etc.)
Full description
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 Senior Lead Software Engineer at JPMorganChase within the Corporate Sector of the Infrastructure Platforms team, 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
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Drives 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.
- Applies 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.
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Applies deep technical expertise and problem-solving methodologies focused on analyzing complex data and systems, anticipating issues, and finding ways to mitigate risk
- Works with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processes
- Be responsible for infrastructure engineering in accordance with business requirements
- Drives results and implements multiple complex programs
- Drives thought leadership within the product line
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Knowledge of one or more areas of infrastructure engineering such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments