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The Role
Leads the architecture, development, deployment, and operational stability of secure, scalable enterprise software platforms. Provides technical direction, mentors engineers, drives automation and AI-assisted development practices, analyzes data for operational insights, and ensures compliance with security and enterprise standards. Requires advanced expertise in Python or Java, databases, AWS infrastructure, monitoring, CI/CD, application resiliency, and agile software delivery.
Summary Generated by Built In
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- 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
- Oversee the end-to-end design, development, and deployment of scalable and resilient platform solutions, setting technical direction and standards to ensure secure infrastructure that aligns with organizational objectives and industry best practices.
- Lead cross-functional teams in building secure, high-quality platform components and automation, fostering a culture of technical excellence, innovation, and continuous improvement across engineering disciplines
- Develop and maintain comprehensive architecture and design documentation for platform services and infrastructure, ensuring compliance with enterprise standards, regulatory requirements, and platform design constraints
- Direct the analysis and synthesis of large, diverse data sets to generate actionable insights, visualizations, and reporting that inform strategic decision-making and drive operational excellence
- Proactively identify and address systemic issues, hidden risks, and patterns in data, leveraging insights to enhance coding hygiene, system architecture, and application resiliency
- Champion the adoption of emerging technologies and best practices, contributing to internal communities of practice and representing the firm at industry events and forums.
- Cultivate a high-performing, diverse engineering team by mentoring, coaching, and promoting a culture of inclusion, respect, and opportunity
- 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.
- 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
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience in system architecture, application development, testing, and operational stability within large-scale, enterprise environments.
- Expert-level proficiency in Python and/or Java, with extensive experience in developing, debugging, and maintaining complex codebases and database querying languages.
- Deep expertise in SQL and NoSQL databases, data lakes, and AWS S3, with a proven ability to architect and implement scalable, secure data storage solutions.
- Demonstrated success in deploying and managing enterprise applications using AWS services such as EMR, EKS/ECS, EC2, Event Bus, and S3.
- Mastery of enterprise monitoring and logging tools, including Splunk, Elastic Search, Dynatrace, AppDynamics, Grafana, CloudWatch, and Datadog, with a focus on proactive system health and performance management
- Advanced experience in designing and implementing Continuous Integration and Continuous Deployment pipelines using Jenkins, Spinnaker, and related automation tools.
- In-depth understanding of the full software development lifecycle, agile methodologies, application resiliency, and security principles, with a track record of delivering secure, reliable solutions.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Skills Required
- Formal training or certification in software engineering concepts
- 5+ years of applied experience in system architecture, application development, testing, and operational stability within large-scale enterprise environments
- Expert-level proficiency in Python and/or Java
- Extensive experience developing, debugging, and maintaining complex codebases and database querying languages
- Deep expertise in SQL and NoSQL databases, data lakes, and AWS S3
- Experience architecting and implementing scalable, secure data storage solutions
- Experience deploying and managing enterprise applications using AWS EMR, EKS/ECS, EC2, Event Bus, and S3
- Mastery of enterprise monitoring and logging tools including Splunk, Elasticsearch, Dynatrace, AppDynamics, Grafana, CloudWatch, and Datadog
- Advanced experience designing and implementing CI/CD pipelines using Jenkins, Spinnaker, and related automation tools
- In-depth understanding of the software development lifecycle, agile methodologies, application resiliency, and security principles
- Experience leading the effective use of approved AI-assisted software development tools
- Ability to establish validation standards for AI outputs, including correctness, performance, and security
- Understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs and outputs
- Experience coaching engineers on safe and compliant adoption of AI-assisted development practices
- Proficiency in all aspects of the software development lifecycle
- Advanced understanding of agile methodologies, CI/CD, application resiliency, and security
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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The Company
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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