JPMorgan Chase·BFSI·6 days ago
6 days ago
Lead Infrastructure Engineer – Retail Branch Change Execution
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What you'll do
- Ensure reliable & secure patch and software deployment to ~70,000 devices in our Retail Branches minimal interruption of service to our customers.
- Drive workstreams or projects consisting of one or more infrastructure engineering technologies, with a primary focus on enterprise software deployment.
- Architect and implement changes across platforms to resolve issues and modernize technology processes.
- Design, develop, and troubleshoot creative solutions for complex technical problems.
- Lead automation initiatives using scripting/programming (Python, PowerShell, .NET) and utilizing GitHub/CoPilot AI/Agentic AI to fully automate software delivery and operational solutions.
- Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
- Consider upstream/downstream data, systems, and technical implications; advise on mitigation actions.
- Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.
- Ensure automated software and security delivery/updates for enterprise platforms.
- Collaborate with cross-functional teams to ensure seamless integration and performance excellence.
- Mentor junior engineers and contribute to knowledge sharing within the team.
What they're looking for
- 5+ years of experience in infrastructure engineering, software deployment, or related fields.
- Deep knowledge of three or more areas of infrastructure engineering such as: deployment practices, automation + hardware, networking, databases, integration, scaling, resilience, or performance assessments.
- Experienced knowledge of infrastructure technology and scripting/programming languages (e.g. Python, PowerShell, .NET, etc.)
- Proven experience leveraging AI and agentic AI to automate and develop enterprise software delivery solutions.
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
- Strong understanding of cloud infrastructure and multiple cloud technologies, with the ability to operate in and migrate across public and private clouds
- Demonstrated ability to develop technical and cross-functional knowledge outside of the product domain.
- Excellent problem-solving skills and ability to execute creative solutions for technical challenges.
- Strong communication and collaboration skills.
Nice to have
- Experience deploying enterprise software solutions in large-scale environments.
- Experience with ServiceNow, Jira, or similar change management and automation tools.
- Experience with Dynatrace or Splunk
- Familiarity with security best practices for enterprise software delivery.
- Experience leading automation projects using AI/agentic AI.
- Advanced certifications in infrastructure engineering, cloud technologies, AI, SRE, or Software deployment tools.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies.
As a Lead Infrastructure Engineer at JPMorganChase within the [insert LOB or sub LOB], you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.
Job responsibilities
As a Lead Infrastructure Engineer at JPMorganChase within the [insert LOB or sub LOB], you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.
Job responsibilities
- Ensure reliable & secure patch and software deployment to ~70,000 devices in our Retail Branches minimal interruption of service to our customers.
- Drive workstreams or projects consisting of one or more infrastructure engineering technologies, with a primary focus on enterprise software deployment.
- Architect and implement changes across platforms to resolve issues and modernize technology processes.
- Design, develop, and troubleshoot creative solutions for complex technical problems.
- Lead automation initiatives using scripting/programming (Python, PowerShell, .NET) and utilizing GitHub/CoPilot AI/Agentic AI to fully automate software delivery and operational solutions.
- Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
- Consider upstream/downstream data, systems, and technical implications; advise on mitigation actions.
- Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.
- Ensure automated software and security delivery/updates for enterprise platforms.
- Collaborate with cross-functional teams to ensure seamless integration and performance excellence.
- Mentor junior engineers and contribute to knowledge sharing within the team.
Required qualifications, capabilities, and skills
- 5+ years of experience in infrastructure engineering, software deployment, or related fields.
- Deep knowledge of three or more areas of infrastructure engineering such as: deployment practices, automation + hardware, networking, databases, integration, scaling, resilience, or performance assessments.
- Experienced knowledge of infrastructure technology and scripting/programming languages (e.g. Python, PowerShell, .NET, etc.)
- Proven experience leveraging AI and agentic AI to automate and develop enterprise software delivery solutions.
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
- Strong understanding of cloud infrastructure and multiple cloud technologies, with the ability to operate in and migrate across public and private clouds
- Demonstrated ability to develop technical and cross-functional knowledge outside of the product domain.
- Excellent problem-solving skills and ability to execute creative solutions for technical challenges.
- Strong communication and collaboration skills.
Preferred qualifications, capabilities, and skills
- Experience deploying enterprise software solutions in large-scale environments.
- Experience with ServiceNow, Jira, or similar change management and automation tools.
- Experience with Dynatrace or Splunk
- Familiarity with security best practices for enterprise software delivery.
- Experience leading automation projects using AI/agentic AI.
- Advanced certifications in infrastructure engineering, cloud technologies, AI, SRE, or Software deployment tools.
BFSI
Company
JPMorgan ChaseBFSI
Columbus, United States of America
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