Infrastructure Engineer III

JPMorgan Chase & Co. • Plano, TX

4d

About The Position

As an Infrastructure Engineer III at JPMorganChase within the Corporate Sector – Infrastructure Platforms, you will apply strong knowledge of software, applications, and technical processes across infrastructure engineering. You will use technical expertise and problem-solving methods across multiple applications of moderate scope, helping improve systems that operate at scale and ensuring end-to-end application monitoring.

The role includes using enterprise-authorized AI capabilities to support monitoring, capacity analysis, documentation, and operational workflows. You will validate AI-assisted outputs and ensure data is handled according to sensitivity, security, resiliency, and auditability expectations. You will make significant project decisions involving multiple technologies and applications, and use reuse-first, AI-assisted methods to identify capacity risks and improve remediation workflows.

You will champion site reliability practices, lead data-driven initiatives to improve reliability and service levels, and collaborate with technical teams, stakeholders, and customers to define service level indicators, objectives, and error budgets. You will diagnose and resolve issues, modernize technology processes, analyze monitoring and telemetry data, build dashboards, and help ensure reliability, performance, and security. The role also involves escalating issues with detailed technical write-ups and partnering with application and infrastructure teams to address capacity risks and platform dependencies.

Requirements

• Formal training or certification in infrastructure engineering concepts and at least 3 years of applied experience.
• Demonstrated experience using enterprise-authorized AI capabilities for infrastructure engineering workflows, with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted recommendations before implementation, escalate uncertainty, and ensure outcomes meet resiliency, security, and auditability expectations.
• Strong knowledge of one or more scripting languages.
• Experience with multiple cloud technologies and the ability to operate in and migrate across public and private clouds.
• Proficiency in scripting, automation, and infrastructure as code, including tools such as Python, PowerShell, Ansible, and Terraform; fluency in at least one programming language such as Python, Go, Shell scripting, or .NET.
• Hands-on experience applying AI-assisted automation and agentic patterns to engineering and operational workflows.
• Hands-on ability to use GitHub Copilot and coding assistants to accelerate skill development and build AI agents or workflows for infrastructure operations tasks such as triage, automation, and runbook execution.
• Knowledge of infrastructure engineering areas such as Linux or Windows operating systems, networking terminology and protocols, databases, deployment practices, and automation.
• Familiarity with web products such as Apache, Tomcat, IIS, and WebSphere/IHS.
• Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, and toil reduction, with demonstrated ability to implement these practices within a platform.
• Advanced knowledge and experience in observability, monitoring, alerting, and telemetry collection using tools such as Grafana, Dynatrace, Datadog, Prometheus, CloudWatch, or Splunk.
• Experience designing and implementing monitoring dashboards using Splunk or Dynatrace, including effective production support.

Nice To Haves

• Implementation experience with CI/CD pipelines, GitHub code reviews, and process automation using Python and scripting.
• Hands-on experience and certifications in AWS, Azure, GCP, or other cloud environments; AWS or Azure exposure with understanding of resiliency, scalability, observability, and monitoring.
• Experience using Terraform or other infrastructure-as-code technologies for cloud resource management.
• Experience supporting complex, mission-critical applications involving components from multiple technical generations.
• Familiarity with modern front-end technologies and experience designing, developing, and implementing software solutions.
• Strong drive to expand infrastructure engineering knowledge across emerging technologies and domains, self-educate, and evaluate new technology.

Responsibilities

• Apply technical knowledge and problem-solving methodologies to projects of moderate scope, improving data and systems running at scale and ensuring end-to-end application monitoring.
• Use enterprise-authorized AI capabilities to accelerate monitoring, capacity analysis, documentation, and operational workflows; validate outputs and handle operational data according to sensitivity and security requirements.
• Make significant decisions for projects involving multiple technologies and applications.
• Use reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, validating changes against resiliency and security expectations.
• Build hands-on agentic automation for operational workflows such as triage, runbook execution, incident summarization, and change validation, with appropriate controls and monitoring.
• Champion site reliability culture and practices, exert technical influence, and lead data-driven initiatives to improve reliability, stability, and service levels.
• Collaborate with team members, technical experts, stakeholders, and customers to identify service level indicators and establish service level objectives and error budgets.
• Diagnose and implement changes to resolve issues, modernize technology processes, and ensure end-to-end application monitoring.
• Collect and analyze monitoring and telemetry data in test and production environments; design and implement dashboards; and support system reliability, performance, and security.
• Escalate issues with detailed technical write-ups and partner with application and infrastructure teams to identify and remediate capacity risks and understand platform interdependencies and limitations.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed