Senior Manager of Software Engineering - Java/Cloud

JPMorgan Chase & Co.

Plano (TX)

On-site

USD 180,000 - 260,000

Full time

14 days+

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Job summary

JPMorganChase is seeking a Senior Manager of Software Engineering in the Connected Commerce team in Plano, TX. You will lead multiple technical teams, coach engineers, and influence cross-functional planning and budgeting to enhance operations and technology delivery.

You will drive platform modernization, champion best practices for microservices, streaming, and AI-enabled development, and ensure secure, scalable solutions across the enterprise.

Qualifications

  • Formal training or certification in software engineering concepts.
  • Minimum 2+ years leading a Software Engineering team.
  • 8+ years hands-on experience in system design, development, testing, and reliability.
  • Experience building highly scalable Java-based microservices.
  • Hands-on cloud-native experience on AWS with EKS, ECS/Fargate and S3.
  • Hands-on experience with Kafka, Kinesis, and Flink for near real-time processing.
  • Advanced understanding of Agile, CI/CD, resiliency, and security best practices.
  • Proficiency with Git, Bitbucket, or SVN as source control.
  • Experience leading multi-team adoption of AI-assisted development and governance.

Responsibilities

  • Oversee platform strategy and modernization (cloud-first, data-first).
  • Promote engineering best practices for streams, microservices, API design, CI/CD.
  • Lead design of high-throughput, low-latency apps with ML architectures on AWS.
  • Design and review secure, scalable microservices and code quality.
  • Create architecture/design artifacts for complex platform components.
  • Develop production-grade code and drive SDLC improvements.
  • Architect near real-time streaming with Kafka, Kinesis and Flink.
  • Set enterprise-wide AI-assisted engineering expectations and governance.
  • Leverage SDLC tools to improve efficiency and reuse firm tech assets.

Skills

Team management
System design
Java microservices
AWS cloud
Kafka/Kinesis/Flink
Agile / CI/CD
Git/Bitbucket
AI-assisted development tools
Responsible AI governance
High-throughput streaming

Tools

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 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
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