Infrastructure Engineer 3 - Multiple Teams
No salary listed
Mid
Wilmington, DE, USA
In Person
DevOps & InfrastructureCloud Engineering
About the job
Requirements
- Formal training or certification in infrastructure engineering concepts and at least 3 years of applied experience.
- Strong understanding of cloud infrastructure and multiple cloud technologies, with experience using public cloud cost management and optimization tools.
- Infrastructure engineering technical depth across hardware, networking, databases, storage, deployment, integration, automation, scaling, resilience, and performance assessments.
- Proven experience leveraging generative AI and agentic AI to automate and develop enterprise software delivery and cost optimization solutions.
- Hands-on experience implementing FinOps and generative AI agents to optimize AWS cloud, including AI automation.
- Experience using enterprise-authorized AI capabilities in 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, escalate when uncertain, and ensure outcomes align with resiliency, security, and auditability expectations.
- Problem-solving skills and ability to execute generative-AI-driven solutions for technical challenges; strong understanding of the FinOps Foundation Framework, its capabilities, lifecycle, and domains.
- Advanced understanding of AWS services for traditional compute, containerization, and serverless architectures.
- 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.
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.
- Discover, analyze, and prioritize cloud cost optimization opportunities using generative AI models and intelligent agents; calculate potential savings and benefits using data repositories, reporting, and extract, transform, and load (ETL) tools.
- Collaborate with teams to design, implement, and scale generative-AI agent-based cost optimization recommendations and best practices.
- Use enterprise-authorized AI capabilities to accelerate monitoring, capacity analysis, and documentation; validate outputs and handle operational data according to sensitivity and security requirements.
- Resolve most nuances and determine the appropriate escalation path.
- Build or break down technical problems using conventional approaches while considering upstream and downstream data, systems, and technical implications.
- Drive daily activities supporting standard capacity-process applications and partner with application and infrastructure teams to identify potential capacity risks and govern remediation statuses.
- 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.
Desired Qualifications
- AWS engineering or architect certifications.
- FinOps Practitioner or FinOps Professional certifications.
- Advanced certifications in infrastructure engineering, cloud technologies, or automation.
- Exceptional verbal and written communication skills.
About the company
JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.
Company Size
10,001+
Company Stage
IPO
Headquarters
New York City, New York
Founded
1799
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Simplify's Take
What believers are saying
- Growth is broad-based: every JPMorgan division posted record revenue in the June 2026 quarter, and trading jumped 35%.
- Stock grants gained value: shares rose 21% in three months, valuing JPMorgan at $965 billion in August 2026.
- Tech teams are well funded: JPMorgan's nearly $20 billion yearly tech budget is the largest in banking.
What critics are saying
- AI is shrinking some teams: Dimon said in July 2026 that AI cut up to 40% of certain roles.
- Plan on five office days a week: JPMorgan ended hybrid schedules for all staff in early 2025.
- It is fighting the president in court: Trump sued JPMorgan for $5 billion in January 2026 over his closed accounts.
What makes JP Morgan Chase unique
- It ranks first in investment banking: JPMorgan earned 9.3% of global deal fees in the first half of 2026.
- It trains future CEOs: 10 Fortune 500 chiefs were JPMorgan alumni in September 2025, fifth-most of any employer.
- Its payments arm is a hidden giant: JPMorgan says it processes $12 trillion a day across 160-plus countries.
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Benefits
- Health Insurance
- Flexible Work Hours
- Paid Sick Leave
- Paid Holidays