JP Morgan Chase & Co.

Senior Manager of Software Engineering - Reference Data Engineering

JP Morgan Chase & Co.$145K — $175K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of applied software engineering experience with formal training or certification.
  • 2+ years leading technical teams to address complex challenges.
  • Experience with enterprise AI-assisted development tools and governance.
  • Strong understanding of responsible AI use and security implications in engineering workflows.
  • Expert-level proficiency in Java and Spring Boot, with AWS experience.
  • Knowledge of distributed systems and microservices architecture.
  • Proficiency in modern DevOps practices and CI/CD methodologies.

Responsibilities

  • Provide coaching and oversight for entry to mid-level software engineers.
  • Establish operating practices for AI-assisted engineering and automation.
  • Drive efficiency using SDLC toolchain and prioritize reuse of existing technologies.
  • Develop innovative software solutions for complex data infrastructure.
  • Maintain high coding standards through code reviews and debugging efforts.
  • Design and develop microservices for real-time data delivery.
  • Own features end-to-end, including requirements and deployment.

Benefits

  • Opportunity to work on enterprise-scale data platforms.
  • Access to advanced technology and tools for data processing.
  • Collaborative and innovative team environment.
  • Career development opportunities in a leading financial institution.
Full Job Description
JOB DESCRIPTION
As a Senior Manager of Software Engineering at JPMorganChase within the Corporate Sector's Reference Data Engineering 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.This group powers one of the teams' most critical data-driven capabilities through a modern data mesh architecture delivering curated, domain-driven data products in real-time across the firm. Operating at enterprise scale across AWS, Databricks, and on-premises, Reference Data Integration (RDI) manages multi-tenant data delivery with managed-service enablement. The platform uses event-driven streaming (Kafka, Kinesis, Spark Structured Streaming) for high-performance real-time data delivery and is evolving AI/ML-driven data quality and reconciliation capabilities. Join our engineering team to architect intelligent, self-healing data platforms driving the next generation of financial infrastructure


Job responsibilities
  • Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
  • 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.
  • Executes creative software solutions through innovative system design and development. Approaches complex data infrastructure challenges with ability to think beyond conventional approaches to identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of reference data systems
  • Develops secure, high-quality production code. Reviews and debugs code written by others. Maintains and elevates engineering standards
  • Designs and develops Java/Spring Boot microservices for real-time data product delivery and platform capabilities
  • Owns assigned features end-to-end: requirements, design, implementation, testing, deployment, and monitoring
  • Optimizes performance, scalability, and cost efficiency of microservices and data pipelines while writing comprehensive tests (unit, integration, end-to-end) to ensure platform reliability and data integrity
  • Participates in design and code reviews. Proactively identifies and remediates technical debt
  • Contributes to production support and incident response. 
  • Contributes to team knowledge sharing: documentation, runbooks, tech talks
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
  • 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.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Expert-level Java proficiency. Deep knowledge of Spring Boot, Spring Cloud, Spring Data, and Spring Security (JWT/OAuth2), Spring Framework, Spring Boot, and AWS Services in public cloud infrastructure, with experience building cloud-native or cloud-ready applications using AWS
  • Strong understanding of distributed systems, microservices architecture, and design patterns
  • Production-level experience with AWS: EC2, S3, Lambda, CloudWatch, IAM, Kinesis. Hands-on with databases: NoSQL (MongoDB), columnar/analytics (Snowflake, Databricks), relational SQL
  • Experience with version control (Git/Bitbucket), CI/CD pipelines, and modern DevOps practices (Docker, Kubernetes, Terraform) so you can be proficient in all aspects of the Software Development Life Cycle (SDLC), agile methodologies, and continuous delivery
  • Proficiency in Java/J2EE and REST APIs. Experience building event-driven Microservices and Kafka (Kinesis, Spark Structured Streaming) and its event-driven architecture and message brokers (Kafka, RabbitMQ)
  • Hands-on experience with system design, application development, testing with proficiency in GIT/Bitbucket, JIRA, Maven
  • Ability to tackle design and functionality problems independently with little to no oversight. Clear articulation of technical concepts in a self-motivated role that requires high ownership of work quality and delivery
Preferred qualifications, capabilities, and skills
  • Python with data engineering experience including exposure to Databricks and a a background in data infrastructure or reference data platforms
  • Experience in Platform or Product Development and contribution to open-source projects or public technical content
  • AWS Certifications (AWS Certified Solutions Architect - Associate or higher)
  • Experience with Spring Cloud (Netflix OSS stack: Eureka, Zuul, Hystrix)
  • Experience building or maintaining high-scale, real-time data systems. Familiarity with data product delivery and data mesh patterns
  • Experience in multi-region or disaster recovery scenarios
  • Familiarity with managed service architecture patterns

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

High-Demand Positions

Among the myriad of roles, certain positions stand out for their attractive compensation packages and career advancement prospects. Notably, high-paying jobs at JP Morgan Chase & Co. include Relationship Manager, Branch Manager, and Software Engineer. These roles are critical to the firm's operations and offer lucrative opportunities for those with the requisite expertise.

Navigating the Job Market at JP Morgan Chase & Co.

Leveraging Job Portals and Job Alerts

For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ

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