Senior Lead Software Engineer - Windows Server Infrastructure

JPMorgan Chase JPMorgan Chase · Banking · San Francisco, CA +1 · Corporate Sector

This role focuses on designing, deploying, and maintaining Windows Server infrastructure, developing automation scripts, and ensuring compliance with security and regulatory requirements. It also involves driving the adoption of AI-assisted engineering practices to improve code quality and delivery speed, and coaching teams on responsible AI use.

What you'd actually do

  1. Design, deploy, and maintain Windows Server infrastructure (2016/2019/2022/2025) across physical, virtual and Container environments.
  2. Develop and maintain automation scripts for server provisioning, configuration, and monitoring.
  3. Develop automation for creating and deploying images for Physical and virtual machines
  4. Ensure compliance with security policies, standards, and regulatory requirements.
  5. 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.

Skills

Required

  • Formal training or certification on Software engineering concepts and 5+ years applied experience
  • Advanced knowledge of distributed systems running either Windows Server, IIS, SQL Server and the underlying hardware and hypervisors
  • Extensive experience of one or more areas of software engineering such as networking, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments
  • Adept in specific software technology and programming languages (e.g., C#, .NET, Ansible, PowerShell, Python, etc.)
  • Extensive experience with software engineering in an enterprise environment with a demonstrated focus on integration with a heterogeneous environment, creating, documenting & automating test harnesses and results, using data to set firmwide technical standards
  • Deep technical knowledge across multiple domains
  • 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, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
  • Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds
  • Experience translating technical results and requirements to business language and presenting to leadership teams

Nice to have

  • Exposure to managing budgets and experience in Windows Server Clusters.
  • Experience in infrastructure virtualization with VMware, Hyper-V, KVM or other hypervisors
  • Experience in chaos engineering and testing with tools such as Gremlin

What the JD emphasized

  • AI-assisted engineering practices
  • AI-assisted code review/refactoring
  • test acceleration
  • release readiness
  • incident/root-cause analysis
  • AI-assisted development and automation capabilities
  • enterprise-authorized AI-assisted software development tools
  • responsible AI use in engineering workflows