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Salary
≈ $75k – $194k per year (Estimated)
Location
In office (Buenos Aires)
Seniority
Staff · 5+ years exp

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Aug 5, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

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, 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:

  • Client and Stakeholder management including client consultations, communication of expected completion dates and ongoing expectation management
  • Contribute to process management and improvement within the team by updating and creating documentation and runbooks in line with engineering standards
  • Provide advanced troubleshooting and support for Proxy issues
  • Collaborate with other IT & business teams to align proxy solutions with organizational goals
  • Contribute to change management process improvement by building standardized change implementation templates
  • Provide technical guidance and mentorship to team members
  • 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.
  • 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 disciplines concepts and 5+ years applied experience
  • Hands-on experience in installation, migration and decommission suite of Broadcom (erstwhile Bluecoat) devices including Proxy SG, Secure Web Gateway (ISG), Symantec Content Analysis Systems (CAS), SSL Visibility appliances and Symantec Management Center (SMC).
  • Experience with other SaaS based Secure Gateway vendor e.g. Zscaler, Netskope etc
  • Ability to build, test and deploy proxy-based security solutions
  • Good understanding of network infrastructure, network security concepts and application layer protocols (http/https) and vulnerability mitigation
  • Good understanding of REST API and container-based deployment models.
  • Understanding of version and revision control practices and procedures.
  • Proficient in use of SEIM tools for investigate purposes
  • Scripting skills for automation of a Proxy environment and understanding and comfortable working on shell/python scripts and Ansible playbooks.
  • Expertise of networking fundamentals including Network topology, VLANs, Routing, Switching, Global/Local Load Balancing and Firewalls.
  • Flexible to work off hours and weekends in 24x7 on-call rotation.
  • 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.

Preferred Qualifications, Skills, and Capabilities:

  • Self-Starter who can take initiative and has the ability to work independently and collaboratively
  • Demonstrated leadership and collaboration skills in a large enterprise environment
  • Strong critical thinking and problem solving skills
  • Strong work ethic with a results oriented mindset
  • Ability to collaborate with different roles and different levels across different teams to achieve common goals and ensure end to end project delivery
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