at J.P. Morgan
Bulge Bracket Investment BanksPosted 4 days ago
No clicks
**Network Engineer III | JPMorganChase, Buenos Aires** Lead Infrastructure Engineering III, utilizing software, applications, and technical processes. Key responsibilities include: - Improve data & systems at scale, ensuring end-to-end application monitoring. - Leverage AI capabilities for speedy monitoring, capacity analysis, and validation. - Troubleshoot issues, determine escalation paths, and build solutions considering data systems' implications. - Drive daily capacity process, collaborate with teams, and govern remediation statuses. - Make significant project decisions involving multiple technologies and applications. - Employ AI-assisted reuse-first approaches to identify capacity risks and enhance remediation workflows. Requirements: - Certified/Bachelor's in Infrastructure Engineering, 3+ years of experience. - Strong knowledge of hardware, networking, databases, storage, deployment, and scripting. - Proven use of AI capabilities, data sensitivity awareness, and validation habits. - Experience with multiple cloud technologies (public & private). - Advanced English skills.
- Compensation
- Not specified
- City
- Not specified
- Country
- Argentina
Currency: Not specified
Full Job Description
Location: Ciudad Autnoma de Buenos Aires, Argentina
As an Infrastructure Engineer III at JPMorganChase you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope.
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.
- 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.
- 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)
- Advanced English skills
