Leads infrastructure engineering initiatives focused on enterprise network architecture, implementation, modernization, troubleshooting, resilience, and performance. Designs and supports campus, data center, WAN, cloud, and hybrid-cloud environments, while guiding cross-functional workstreams and validating AI-assisted recommendations. Owns technical outcomes end to end, considering system dependencies, security, auditability, and operational data sensitivity. Requires deep networking, cloud, automation, and scripting expertise, with preferred experience across major networking vendors and technologies including BGP, SD-WAN, and 802.1X.
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 JPMorgan Chase within the Infrastructure Platforms team, 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 JPMorgan Chase within the Infrastructure Platforms team, 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
- Senior full‑stack network engineering expertise with across campus, data center, and WAN (routing/switching, segmentation, QoS, DNS/DHCP/IPAM), with proven ability to lead architecture/design, guide implementation, and own outcomes end‑to‑end for major initiatives.
- 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.
- 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
- 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
- Experience with wired/wireless LAN/BGP WAN/SD-WAN and 802.1x technologies from vendors including Cisco, Arista, Juniper, Fortinet, and Forescout
-
Exhibits a growing initiative and the ability to manage assigned tasks efficiently, seeking guidance when needed and showing a willingness to find solutions and contribute to improvements with some supervision
Similar Jobs
Financial Services
Design, build, test, and operate cloud-native back-end microservices (Java) for banking products. Ensure secure, scalable, reliable systems, zero-downtime releases, performance optimization, incident management, and responsible use of enterprise AI-assisted development tools.
Top Skills:
AWSCloud TechnologiesDistributed SystemsEnterprise Ai-Assisted Development ToolsJavaMessaging FrameworksMicroservicesRelational DatabasesRestful ApisWeb Technologies
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Operate and secure SailPoint’s global SaaS infrastructure. Responsibilities include file integrity monitoring, audit evidence automation, base-image hardening, release automation, vulnerability remediation, compliance support, incident response, and on-call production operations. The role collaborates with engineering and cybersecurity teams to securely deploy services, improve operational practices, troubleshoot systems and networks, and maintain security across AWS or Azure environments.
Top Skills:
AWSAzureChefIdsIpsJenkinsPuppetPythonRubySIEMSirpTerraformWaf
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Develop and scale AI-powered applications, developer tooling, platform services, and engineering frameworks. Build secure, compliant cloud-native solutions across application and platform layers while collaborating with engineering, product, and data science teams. Contribute to AI feature development, enterprise-scale software platforms, DevOps practices, and AI-assisted development under senior technical guidance.
Top Skills:
Agentic AiAmazon QAPIsAWSAzureC#Ci/CdClaude CodeCodexCursorDevOpsEvent-Driven PlatformsGithub CopilotGoGoogle Cloud PlatformInfrastructure As CodeJavaKubernetesLarge Language ModelsMicroservicesMlopsPythonRetrieval-Augmented GenerationTypescriptVector Databases
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
