Infrastructure Engineer - GenAI/AWS

JPMorgan Chase & Co.; Wilmington (NC); On-site; USD 61,000 - 101,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an Infrastructure Engineer III with GenAI/AI Automation and AWS expertise in Wilmington, NC.

You will apply advanced technical knowledge to design, implement, and optimize cloud-based infrastructure across multiple platforms, focusing on cost-efficiency and reliability. You will collaborate with cross-functional teams to deploy scalable GenAI-driven solutions, validate outcomes, and ensure security, resiliency, and auditability while following FinOps best

Qualifications

• Formal training or certification in infrastructure engineering concepts; 3+ years of applied experience.
• Strong understanding of cloud infrastructure and cost management tools.
• Technical depth in infrastructure engineering: hardware, networking, databases, storage, deployment, automation, scaling, resilience, and performance assessment.
• Experience using GenAI/agentic AI to automate and develop enterprise software delivery and cost-optimization solutions.
• Hands-on FinOps and GenAI in AWS cloud optimization; AI automation.
• Experience with enterprise AI capabilities in infrastructure workflows; data sensitivity awareness.
• Ability to review AI-assisted recommendations for resiliency, security, and auditability.
• Strong problem-solving; creative GenAI-driven solutions; familiarity with FinOps Foundation Framework.
• Advanced understanding of AWS services for compute, containerization, serverless.
• Scripting language proficiency.
• Cross-cloud experience and cloud migrations.

Responsibilities

• Apply technical knowledge to moderate-scope projects improving data and systems at scale, with end-to-end monitoring.
• Identify and prioritize cloud cost-optimization opportunities using GenAI and intelligent agents; estimate savings from data and ETL tools.
• Design, implement, and scale GenAI agent-based cost-optimization recommendations and practices.
• Use enterprise AI tools to support monitoring, capacity analysis, and documentation; validate results with security and sensitivity requirements.
• Resolve technical nuances and determine appropriate escalation.
• Decompose technical problems considering upstream and downstream systems and data.
• Lead daily activities for capacity-process applications and oversee remediation of capacity risks.
• Make significant decisions for multi-technology projects.
• Use reuse-first AI-assisted methods to improve remediation workflows and validate resiliency and security.

Skills

Cloud cost optimization

GenAI & AI automation

Problem solving

Communication skills

Tools

Agentic AI

AI

AWS

Architect

Cloud

ETL

Hardware

Security

Serverless

DevOps

Job description

Salary: $61,000 - 101,000 per year

Requirements:

• Formal training or certification in infrastructure engineering concepts, with at least 3 years of applied experience
• Strong understanding of cloud infrastructure, multiple cloud technologies, and public-cloud cost management and optimization tools
• Technical depth in infrastructure engineering, including hardware, networking, databases, storage, deployment, integration, automation, scaling, resilience, and performance assessment
• Proven experience using generative AI and agentic AI to automate and develop enterprise software delivery and cost-optimization solutions
• Hands-on experience applying FinOps and GenAI agents to AWS cloud optimization, including AI automation
• Experience using enterprise-authorized AI capabilities in infrastructure engineering workflows, with strong output-validation practices and awareness of data sensitivity
• Ability to review AI-assisted recommendations before implementation, escape uncertainty, and ensure outcomes meet resiliency, security, and auditability expectations
• Strong problem-solving skills, ability to develop creative GenAI-driven solutions, and knowledge of the FinOps Foundation Framework, including its capabilities, lifecycle, and domains
• Advanced understanding of AWS services for traditional compute, containerization, and serverless architectures
• Strong knowledge of at least one scripting language
• Experience operating across multiple cloud technologies and migrating between public and private clouds
• Preferred: AWS engineering or architect certification
• Preferred: FinOps Practitioner or FinOps Professional certification
• Preferred: Advanced certification in infrastructure engineering, cloud technologies, or automation
• Preferred: Excellent verbal and written communication skills

Responsibilities:

• Apply technical knowledge and problem-solving methods to moderate-scope projects that improve data and systems operating at scale, while maintaining end-to-end application monitoring
• Identify, assess, and prioritize cloud cost-optimization opportunities using GenAI models and intelligent agents; estimate potential savings using data repositories, reporting, and ETL tools
• Work with teams to design, implement, and scale GenAI agent-based cost-optimization recommendations and practices
• Use enterprise-authorized AI tools to support monitoring, capacity analysis, and documentation; validate results and handle operational data in line with sensitivity and security requirements
• Resolve most technical nuances and determine when and how to escape issues
• Build or decompose technical problems using established methods while considering upstream and downstream systems, data, and technical impacts
• Lead daily activities for standard capacity-process applications and partner with application and infrastructure teams to identify capacity risks and oversee remediation status
• Make significant decisions for projects involving multiple technologies and applications
• Use reuse-first, AI-assisted methods to identify recurring capacity risks and improve remediation workflows, validating changes against resiliency and security expectations

Technologies:

• Agentic AI
• AI
• AWS
• Architect
• Cloud
• ETL
• Hardware
• Support
• Security
• Serverless
• DevOps

More:

We are partnering with hackajob to connect professionals with J.P. Morgan for an Infrastructure Engineer III – GenAI/AI Automation/AWS role within our Consumer and Community Banking team. Chase is a leading financial services firm serving households and small businesses across the United States. Our Consumer & Community Banking division provides personal banking, credit cards, mortgages, auto financing, investment advice, small business lending, and payment processing. We offer competitive, role- and location-dependent compensation and a broad benefits package for eligible employees, which may include healthcare, wellness services, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching. We value diversity and inclusion, are an equal opportunity employer, and provide reasonable accommodations for religious practices and disability-related needs.

last updated 40 week of 2026