Infrastructure Engineer III

ENGINEERINGUK; Plano (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorganChase in Plano, TX is seeking an Infrastructure Engineer III to enhance data and systems at scale across multiple applications. The role emphasizes AI-assisted monitoring, automation, and site reliability, with collaboration across teams and stakeholders.

Responsibilities include validating AI-driven recommendations, building agentic automation, and driving resiliency and security improvements in a complex enterprise environment. Strong scripting and cloud experience are required.

Qualifications

• Formal training or certification on infrastructure engineering concepts.
• Demonstrated experience using enterprise-authorized AI capabilities to support infrastructure workflows with strong validation habits and data sensitivity awareness.
• Ability to review and validate AI-assisted recommendations before implementation, ensuring resiliency, security, and auditability.
• Strong knowledge of scripting languages.
• Experience with multiple cloud technologies (public and private).
• Proficiency in scripting/automation and IaC in Python, PowerShell, Ansible, Terraform, and related tech.

Responsibilities

• Applies technical knowledge to projects of moderate scope, improving data and systems at scale and ensuring end-to-end monitoring of applications.
• Uses enterprise AI capabilities to accelerate monitoring and capacity analysis, validating outputs and handling sensitive data.
• Accounts for significant decisions on projects spanning multiple technologies and applications.
• Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows.
• Builds AI-enabled automation for operational workflows with proper controls and monitoring.
• Champions site reliability practices, guiding the team with data-driven analysis to boost service levels.
• Collaborates with teammates and stakeholders to define service level indicators and objectives.
• Diagnoses and implements changes to resolve issues, modernize processes, and ensure end-to-end monitoring of applications.
• Collects and analyzes telemetry data in test and production; designs dashboards to ensure reliability, performance, and security.
• Escalates issues with detailed technical write-ups; partners with teams to remediate capacity risks and understand interdependencies.

Skills

AI validation

Scripting languages

Cloud technologies

Infrastructure as Code

Automation tooling

Monitoring dashboards

Job description

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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 Corporate Sector - Infrastructure Platforms, 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.
• 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.
• Demonstrate an AI-first mindset by building hands-on agentic automation for operational workflows (e.g., triage, runbook execution, incident summarization, change validation) with appropriate controls and monitoring.
• Demonstrate and champion site reliability culture and practices by exerting technical influence throughout your team; lead initiatives to improve reliability and stability using data-driven analytics to improve service levels.
• Collaborate with team members, technical experts, key stakeholders, and customers to identify service level indicators and establish reasonable service level objectives and error budgets.
• Diagnose and implement changes to resolve issues, modernize technology processes, and ensure end-to-end monitoring of applications.
• Collect and analyze monitoring/telemetry data in test and production environments; design and implement dashboards; ensure system reliability, performance, and security.
• Escalate issues appropriately with detailed technical write-ups; partner with application and infrastructure teams to identify and remediate capacity risks; understand platform interdependencies and limitations.

Required qualifications, capabilities, and skills

• Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
• 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)
• Proficiency in scripting/automation and infrastructure-as-code (Python, PowerShell, Ansible, Terraform) and fluency in at least one programming language (e.g., Python, GO, Shell Scripting, .NET, etc.), including hands-on experience applying AI-assisted automation and agentic patterns to engineering/operational workflows.
• Proven hands