Senior Manager of Software Engineering - Java/Cloud

JPMorganChase; Plano (TX); On-site; USD 170,000 - 210,000; Full time

Job summary

JPMorganChase in Plano leads Connected Commerce initiatives with a Senior Manager of Software Engineering role, guiding multiple teams, shaping platform strategy and AI-enabled modernization. You’ll influence budgets and technology choices to boost efficiency.

You will drive high-throughput Java microservices on AWS, implement secure, scalable designs, and champion best practices across the SDLC for rapid delivery and reliability.

Qualifications

• Formal training or certification on software engineering concepts.
• 2+ years of experience managing a team of Software Engineers.
• 8+ years of hands-on practical experience delivering system design, application development, testing, and operational stability.
• Experience building highly scalable Java based microservices-based applications.
• Practical cloud-native experience on AWS, including building high-throughput services using EKS, ECS/Fargate and S3.
• Hands-on experience in high-throughput, near real-time stream processing using Kafka, Kinesis, and Flink (on ECS/EKS where applicable).
• Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security best practices.

Responsibilities

• Manages platform strategy and modernization (cloud-first, data-first), including AI enablement for efficiency, anomaly detection, and automation of controls.
• Champions engineering best practices for stream processing (Flink), microservices (Java/Python), API design, CI/CD, observability, and resiliency.
• Leads design of high-throughput, low-latency applications leveraging state-of-the-art machine learning architectures deployed on AWS
• Designs and develops secure, scalable microservices, and reviews and debugs code written by others
• Creates architecture and design artifacts for complex components and platform capabilities
• Develops secure, high-quality production code and contributes to engineering best practices across the SDLC
• Designs and implements near real-time streaming and event-driven processing using technologies such as Kafka, Kinesis, and Flink
• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.

Skills

Team management

Java microservices

AWS cloud

Event streaming

CI/CD

Security best practices

AI enablement

Agile methodologies

Git/Bitbucket

Cloud-native

Education

Formal software engineering training

Tools

IntelliJ/Eclipse

Maven

Gradle

Spring Boot

Spring MVC

Spring Cloud

Job description

Job Description As a Senior Manager of Software Engineering at JPMorganChase within the Connected Commerce team, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.

As a Senior Manager of Software Engineering at JPMorganChase within the Connected Commerce team, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.

Job Responsibilities

• Manages platform strategy and modernization (cloud-first, data-first), including AI enablement for efficiency, anomaly detection, and automation of controls.
• Champions engineering best practices for stream processing (Flink), microservices (Java/Python), API design, CI/CD, observability, and resiliency.
• Leads design of high-throughput, low-latency applications leveraging state-of-the-art machine learning architectures deployed on AWS
• Designs and develops secure, scalable microservices, and reviews and debugs code written by others
• Creates architecture and design artifacts for complex components and platform capabilities
• Develops secure, high-quality production code and contributes to engineering best practices across the SDLC
• Designs and implements near real-time streaming and event-driven processing using technologies such as Kafka, Kinesis, and Flink
• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts.
• 2+ years of experience managing a team of of Software Engineers.
• 8+ years of hands-on practical experience delivering system design, application development, testing, and operational stability
• Experience building highly scalable Java based microservices-based applications
• Practical cloud-native experience on AWS, including building high-throughput services using EKS, ECS/Fargate and S3
• Hands-on experience in high-throughput, near real-time stream processing using Kafka, Kinesis, and Flink (on ECS/EKS where applicable)
• Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security best practices
• Proficiency with source code control systems such as Git, Bitbucket, or SVN
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.

Preferred Qualifications, Capabilities, And Skills

• Hands-on experience in high-volume APIs.
• Experience with Temporal
• Experience with Cockroach
• Experience with development/build tools and frameworks such as IntelliJ/Eclipse, Maven, Gradle, Spring Boot, Spring MVC, Spring Cloud
• Experience with recommendation and personalization systems

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

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. We also offer a range of benefits and programs to meet employee needs, based on eligibility. 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. Additional details about total compensation and benefits will be provided during the hiring process.

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.

Equal Opportunity Employer/Disability/Veterans

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.