Lead Infrastructure Engineer

JPMorgan Chase Bank; Bengaluru; On-site; INR 3,000,000 - 5,200,000; Full time

Job summary

JPMorgan Chase in Bengaluru, India, seeks a Lead Infrastructure Engineer to join Employee Platforms. You will apply deep knowledge of infrastructure engineering, systems, and automation to deliver performance and resilience.

Lead a workstream, collaborate across platforms, and validate AI-assisted recommendations, focusing on security, auditability, and scalable cloud, on-premises and hybrid environments.

Qualifications

• Formal training or certification in infrastructure engineering concepts.
• 5+ years of applied experience in infrastructure engineering.
• Experience using enterprise AI capabilities to support workflows with strong validation.

Responsibilities

• Applies expertise to projects of moderate scope and implements solutions for design, development, and troubleshooting.
• Uses enterprise AI capabilities to accelerate infrastructure analysis and documentation with proper data handling.
• Drives a workstream across infrastructure technologies and collaborates with platforms to implement changes.
• Considers upstream/downstream data implications and advises on mitigations.
• Applies AI-assisted practices to identify recurring issues and ensures changes are traceable, auditable, and secure.

Skills

Infrastructure engineering

AI in delivery

Cloud technologies

Scripting languages

Education

Formal training or certification in infrastructure engineering

Tools

Microsoft Exchange

SMTP

Identity Management

Job description

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 worlds largest and most influential companies.

As a Lead Infrastructure Engineer at JPMorganChase within the Employee Platforms , 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

• Applies technical expertise and problem-solving methodologies to projects of moderate scope and executes creative solutions for design, development, and technical troubleshooting for problems of moderate complexity
• 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.
• Drives a workstream or project consisting of one or more infrastructure engineering technologies and works with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes
• Strongly considers upstream and downstream data and systems or technical implications and advises 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.

Required qualifications, capabilities, and skills

• Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
• Deep 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
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
• Experience with enterprise level deployment of Microsoft Communication and Collaboration products in a hybrid environment
• Extensive experience with Microsoft Exchange, SMTP, and Identity Management - focusing on managing the lifecycle of email objects in a hybrid environment.
• Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
• Deep knowledge of one specific infrastructure technology and scripting languages
• Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds

Preferred qualifications, capabilities, and skills

• Deep knowledge of one specific infrastructure technology and scripting languages
• Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds