Job summary:
As a Manager of Software Engineer at JPMorgan Chase within our Workforce Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities :
- Manage data integration and data analysis of disparate systems
- Build extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the client
- Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources
- 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
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 Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs
Interface with other internal product development teams as well as cross functional teams (Product Management, Integration Engineering, Quality Engineering, System Admin Teams)
Working with remote and geographically distributed teams to enable building the right products, using the right building blocks, and making them consumable by other products easily
Required qualifications, capabilities, and skills:
- Experience in data integration projects using Big Data Technologies, preferably related to human resources analytics
- Experience in managing team of at least 5-10 engineers.
- Experience in AWS Data Warehousing and database platforms with hands-on delivery using EMR, S3, AWS Glue, Lambda, Apache Airflow and Infrastructure as Code (IaC) (e.g., Terraform/CloudFormation)
- Hands-on experience on Spark engineering with PySpark/Scala for building and optimizing scalable data pipelines and 2+ years hands-on experience building streaming applications using Kafka
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices - Strong experience in CICD using Jenkins, Git, Artifactory, Yaml, Maven for Cloud deployments
- Good knowledge of Big Data querying tools, such as Athena, RDS, Databricks
- Experience in integrating data from different types of file-storage formats like Parquet, ORC, Avro and table formats like Delta Lake or Iceberg
- Good knowledge of Java opensource, API standards, JUnits, Spring Boot applications, Swagger Setup
- Experience using AI-assisted developer productivity tools (e.g., GitHub Copilot) to speed up development, testing, and remediation
- Strong technical understanding in building scalable, high performance distributed services/systems
- Strong knowledge of Data Warehousing, Data Modeling and Data Lake, Data Security concepts
- Possesses strong problem solving, troubleshooting, and analytical skills, as well as excellent communication, presentation and interpersonal, including the ability to communicate complex concepts clearly to different audiences
- Experience in technologies like Oracle/SQL and NoSQL data stores such as DynamoDB
- Ability to quickly learn new technologies in a dynamic environment
Preferred qualifications:
- Experience in Databricks,
- Experience in Human Resources analytics
Skills Required
- Experience in data integration projects using Big Data technologies (preferably HR analytics).
- Experience managing a team of at least 5-10 engineers.
- Hands-on AWS data warehousing and database experience using EMR, S3, AWS Glue, Lambda.
- Experience with Apache Airflow for orchestration.
- Infrastructure as Code experience (Terraform or CloudFormation).
- Hands-on Spark engineering with PySpark or Scala for scalable data pipelines.
- 2+ years hands-on experience building streaming applications using Kafka.
- Demonstrated experience leading approved AI-assisted software development tools and setting validation expectations.
- Strong understanding of responsible AI use, data sensitivity, secure handling, and resiliency expectations.
- CI/CD experience using Jenkins, Git, Artifactory, YAML, and Maven for cloud deployments.
- Knowledge of Big Data querying tools such as Athena, RDS, Databricks.
- Experience integrating data from Parquet, ORC, Avro and table formats like Delta Lake or Iceberg.
- Good knowledge of Java open-source ecosystem, API standards, JUnit, Spring Boot, and Swagger.
- Experience using AI-assisted developer productivity tools (e.g., GitHub Copilot).
- Strong technical understanding of building scalable, high-performance distributed services/systems.
- Strong knowledge of data warehousing, data modeling, data lake, and data security concepts.
- Experience with Oracle/SQL and NoSQL data stores such as DynamoDB.
- Strong problem solving, troubleshooting, analytical, communication and presentation skills.
- Ability to quickly learn new technologies in a dynamic environment.
- Experience in Databricks.
- Experience in Human Resources analytics.
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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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