Java Lead Engineer: AI-Driven, Cloud-Native Systems

JPMorgan Chase; Chicago (IL); Presencial; USD 140.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Financial coaching

Descripción de la vacante

JPMorgan Chase & Co. is seeking a Lead Software Engineer to join the Commercial & Investment Bank team in Chicago.

You will be a core technical contributor, driving secure, scalable solutions across multiple business functions with a focus on AI-assisted engineering and continuous delivery. You will design and implement production-grade software, review peers’ code, and lead evaluations with vendors to ensure architectural fit and long-term stability of critical systems.

Formación

• Formal training or certification in software engineering concepts with 5+ years of applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced level design skills required for this role
• Advanced proficiency in one or more programming languages, including Java, Spring, AWS, Kubernetes, Kafka, MQ, Cassandra, Oracle, PowerMock, JMeter, Splunk, Grafana, Dynatrace, Jenkins
• Proficiency in automation and continuous delivery methods
• Advanced understanding of agile methodologies, including continuous integration and delivery, application resiliency, and security
• Demonstrated proficiency in cloud-native technologies, including experience with Amazon Web Services and Kubernetes
• Experience with data streaming technologies such as Apache Kafka and message queuing systems
• Demonstrated experience leading effective use of enterprise-authorized, AI-assisted software development tools - including coding, code review, test acceleration, and troubleshooting - with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations, with experience coaching engineers on safe and compliant adoption

Responsabilidades

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Conocimientos

Java

Spring

AWS

Kubernetes

Kafka

CI/CD

Security

Agile

Cloud-native

AI-assisted development

Herramientas

Kafka

Kubernetes

Jenkins

Dynatrace

Grafana

Splunk

PowerMock

JMeter

Oracle

Cassandra

MQ

Descripción del empleo

JPMorgan Chase & Co. is seeking a Lead Software Engineer to join the Commercial & Investment Bank team in Chicago.

You will be a core technical contributor, driving secure, scalable solutions across multiple business functions with a focus on AI-assisted engineering and continuous delivery. You will design and implement production-grade software, review peers’ code, and lead evaluations with vendors to ensure architectural fit and long-term stability of critical systems.