Senior Infrastructure Engineer

Infrastructure Engineer III You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role. As an Infrastructure Engineer III at JPMorganChase within the Employee Platforms Team, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Job responsibilities Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving data and systems running at scale, and ensures end to end monitoring of applications Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements. Resolves most nuances and determines appropriate escalation path Executes conventional approaches to build or break down technical problems while considering upstream and downstream data and systems or technical implications Drives the daily activities supporting the standard capacity process applications and partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses Accountable for making significant decisions for a project consisting of multiple technologies and applications Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, ensuring changes are validated and aligned to resiliency and security expectations. Required qualifications, capabilities, and skills Formal training or certification on infrastructure engineering concepts and 3+ years applied experience Strong knowledge of one or more infrastructure disciplines such as: hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and 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. Hands on Experience in Cloud Contact Center Engineering space and Amazon Connect and Ecosystem services such as IAM, Lex, Lambda, KMS (Data Security), S3, Kinesis etc. Well versed with Infrastructure as a Code with Terraform Able to design and implement applications on public cloud (AWS) Hands-on Experience with CI/CD tools like Jenkins/Jules, Version Control tools (Git/Bitbucket) Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations. Strong knowledge of one or more scripting languages Experience with multiple cloud technologies (ability to operate in and migrate across public and private clouds) Preferred qualifications, capabilities, and skills Knowledge of voice (WebRTC), call recording and telephony platforms a big plus Knowledge on Container Orchestration and deployment in AWS Cloud etc. AWS certification is a big plus