- Provides guidance to immediate team of software engineers on daily tasks and activities
- Sets the overall guidance and expectations for team output, practices, and collaboration
- Anticipates dependencies with other teams to deliver products and applications in line with business requirements
- Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
- Creates a culture of diversity, opportunity, inclusion, and respect for the team members and prioritizes diverse representation.
- Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.
- 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 and support capacity unlock initiatives.
- 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.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 12+ years applied experience
- Experience leading technology projects.
- Proficient in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle.
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
- In-depth knowledge of the financial services industry and their IT systems. Practical cloud native experience.
- Deep expertise in core Java, Spring Boot, J2EE, messaging systems (MQ), Oracle, Postgres, Dapr, Flink, Kafka and Apache Iceberg.
- Proficient in UNIX, Apache Tomcat, and SQL; knowledge of Java Script framework is must.
- Proven experience in designing distributed applications and implementing Agile methodologies.
- Strong background in database management, web services, and Oracle (DB DDL, DML, stored procedures). Experience with Selenium for test automation. Demonstrated ability to debug complex systems and drive technical discussions independently.
- Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage.
Preferred qualifications, capabilities, and skills
- Experience working at code level
- Exposure to full software development lifecycle in large-scale systems, preferably within the financial industry.
- Financial industry experience is highly desirable.
- Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines
Skills Required
- Formal training or certification in software engineering concepts
- 12+ years of applied software engineering experience
- Experience leading technology projects
- Proficiency in automation, continuous delivery, and the full Software Development Life Cycle
- Advanced understanding of agile methodologies, CI/CD, application resiliency, and security
- In-depth knowledge of financial services industry IT systems
- Practical cloud-native experience
- Expertise in Core Java, Spring Boot, J2EE, MQ, Oracle, PostgreSQL, Dapr, Flink, Kafka, and Apache Iceberg
- Proficiency in UNIX, Apache Tomcat, SQL, and JavaScript frameworks
- Experience designing distributed applications and implementing agile methodologies
- Database management, web services, Oracle DDL, DML, and stored procedures experience
- Experience with Selenium for test automation
- Ability to debug complex systems and lead technical discussions independently
- Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools
- Understanding of responsible AI use, data sensitivity, resiliency, security, and governance in engineering workflows
- Ability to coach engineers on compliant and effective AI-assisted engineering practices
- Experience working at code level
- Exposure to the full software development lifecycle in large-scale systems
- Financial industry experience
- Degree or experience in Computer Science, Engineering, Mathematics, or a related field
- Expertise in technology disciplines
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 — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
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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