Sr Lead Software Engineer - Java with VMware and Automation

JPMorganChase; Plano (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorganChase in Plano, TX seeks a Senior Lead Software Engineer to drive design, development, and deployment of scalable infrastructure platforms. You will mentor engineers, lead production-grade deployments, and apply AI-assisted engineering practices across OpenShift, Kubernetes, and cloud-native workflows to improve quality, speed, and security.

In this role you will collaborate with global teams, define robust solutions, and ensure operational stability while advancing automation across the

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Strong fundamentals in system design: API design, data modeling, testing strategy, and operational stability.
• Proficiency in Go, Java, or Python building scalable server-side services.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, 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/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
• Solid understanding of virtualization automation (VM lifecycle and resource concepts: CPU, memory, storage, networking).
• Hands-on experience automating OpenShift or Kubernetes cluster lifecycle and Day-2 operations (upgrades, configuration management, policy/compliance alignment).
• Experience developing and maintaining automated workflows in complex distributed environments; strong troubleshooting skills.
• Experience with workflow orchestration at scale (Temporal strongly preferred; similar orchestration acceptable)

Responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting for virtualized cluster lifecycle automation.
• Automate provisioning, configuration, patching, compliance enforcement, and decommissioning using Platform APIs
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• 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.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability
• Lead production-grade deployments, own technical solutions, diagnose issues using structure troubleshooting methods.
• Work with large-scale infrastructure projects
• Document design decisions to enhance auditability.
• Mentor engineers through design reviews, code reviews, and technical guidance that elevates engineering standards.
• Collaborate, influence, and partner with peers across global teams.

Skills

Go/Java/Python

API design

AI-assisted development

Mentoring

Security/compliance

Tools

OpenShift

Kubernetes

Temporal

VMware ESXi

Job description

Job Description

As a Senior Lead Software Engineer at JPMorganChase within the Corporate Sector-Infrastructure Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job Responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting for virtualized cluster lifecycle automation.
• Automate provisioning, configuration, patching, compliance enforcement, and decommissioning using Platform APIs
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• 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.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability
• Lead production-grade deployments, own technical solutions, diagnose issues using structure troubleshooting methods.
• Work with large-scale infrastructure projects
• Document design decisions to enhance auditability.
• Mentor engineers through design reviews, code reviews, and technical guidance that elevates engineering standards.
• Collaborate, influence, and partner with peers across global teams.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Strong fundamentals in system design: API design, data modeling, testing strategy, and operational stability.
• Proficiency in Go, Java, or Python building scalable server-side services.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, 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/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
• Solid understanding of virtualization automation (VM lifecycle and resource concepts: CPU, memory, storage, networking).
• Hands-on experience automating OpenShift or Kubernetes cluster lifecycle and Day-2 operations (upgrades, configuration management, policy/compliance alignment).
• Experience developing and maintaining automated workflows in complex distributed environments; strong troubleshooting skills.
• Experience with workflow orchestration at scale (Temporal strongly preferred; similar orchestration acceptable)

Preferred Qualifications, Capabilities, And Skills

• Hands-on experience with virtualization automation (VM lifecycle and resource concepts: CPU, memory, storage, networking).
• Demonstrated track record mentoring engineers and raising engineering standards.
• Familiarity with hypervisor environments (VMware ESXi, OpenShift, KVM).
• Cloud-native experience (containers, CI/CD, observability, reliability engineering).
• Passion for innovation, AI, and continuous improvement.

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. Additional details about total compensation and benefits will be provided during the hiring process.

Benefits

• These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
• We also offer a range of benefits and programs to meet employee needs, based on eligibility.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.