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**Lead Infrastructure Engineer (JPMorganChase, Bengaluru)** - Shape infrastructure excellence, drive change in global finance - Key role: Solve moderate-to-complex infrastructure issues using technical expertise - Key areas: AI-driven infrastructure analysis, architecture and implementation of change - Needed: 5+ years experience, deep knowledge in infrastructure (hardware, networking, databases) - Must-have: Experience with Microsoft products (Exchange, SMTP) in hybrid environments - Required: Proficiency in scripting languages, cloud technologies (public/private), data sensitivity awareness - Preferred: Familiarity with specific infrastructure technologies

Compensation: Not specified
City: Bengaluru
Country: India

Full Job Description

Location: Bengaluru, Karnataka, India

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 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

Carry out critical infrastructure engineering solutions across multiple technical areas as an integral part of an agile team

Full Job Description

Location: Bengaluru, Karnataka, India

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

Carry out critical infrastructure engineering solutions across multiple technical areas as an integral part of an agile team

Lead Infrastructure Engineer

Full Job Description

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