Senior Manager of Software Engineering - Java/Cloud

JPMorgan Chase

Plano (TX)

On-site

USD 170,000 - 230,000

Full time

14 days+

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Job summary

JPMorganChase in Texas is seeking a Senior Manager of Software Engineering to lead and coach multiple teams, shaping platform strategy and modernization with a cloud-first approach. You will drive AI-enabled efficiency, establish governance for enterprise tooling, and ensure secure, scalable microservices across the SDLC.

You’ll guide high-throughput systems, streaming engines, and CI/CD excellence, while collaborating with cross-functional partners to deliver reliable, compliant software

Qualifications

  • Formal training or certification on software engineering concepts.
  • 2+ years of experience managing a team of Software Engineers.
  • 8+ years of hands-on experience delivering system design, development, testing, and operational stability.
  • Experience building highly scalable Java-based microservices.
  • Practical cloud-native experience on AWS (EKS, ECS/Fargate, S3).
  • Hands-on experience in high-throughput streaming using Kafka, Kinesis, Flink.
  • Proficiency with Git, Bitbucket, or SVN.
  • Experience leading multi-team adoption of AI-assisted development and governance.

Responsibilities

  • Provide technical coaching and advisory for multiple teams.
  • Lead platform strategy and modernization (cloud-first, data-first) and AI enablement.
  • Design secure, scalable microservices and review code.
  • Develop production-grade code and advance SDLC best practices.
  • Oversee near real-time streaming architectures with Kafka/Kinesis/Flink.

Skills

Team leadership
System design
Java microservices
AWS cloud
CI/CD
Agile methodologies
Git
Bitbucket
SVN
Kubernetes
Kafka
Flink

Education

Software engineering certification

Tools

Git
Bitbucket
SVN
IntelliJ/Eclipse
Maven
Gradle
Spring Boot
Spring MVC
Spring Cloud

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.

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.

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

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