Lead Software Engineer - AWS

Aumni; Dublin; On-site; EUR 120,000 - 180,000; Full time

Job summary

JPMorgan Chase in Ireland seeks a Manager of Software Engineer to join the Workforce Technology team. You’ll lead data integration, design scalable data pipelines, and guide AI-assisted engineering practices within an enterprise-grade software environment.

As a senior member, you’ll coordinate with Product Management, Integration Engineering, and Quality Engineering to deliver secure, efficient solutions across distributed teams while advancing analytics capabilities and data platforms.

Qualifications

• Experience in data integration projects using Big Data Technologies, preferably related to human resources analytics.
• Experience in managing a 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 with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong knowledge of Data Warehousing, Data Modeling and Data Lake, Data Security concepts.
• Possesses strong problem solving, troubleshooting, and analytical skills, with excellent communication and presentation abilities.
• Experience in Java, API standards, Spring Boot, and Swagger.

Responsibilities

• Manage data integration and data analysis of disparate systems
• Build extensible data acquisition and integration solutions to meet functional and non-functional requirements
• Implement processes to extract, transform, and distribute data across data stores from varied sources
• Promote AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes
• Provide problem-solving expertise and complex analysis of data for BI integration designs
• Interface with cross-functional teams and other product development teams
• Collaborate with remote and geographically distributed teams to build reusable, consumable products

Skills

Data integration

Big Data

AWS

Spark / PySpark

CI/CD

Java

SQL

NoSQL

AI-assisted engineering

Data warehousing

Python

Tools

Terraform

CloudFormation

Jenkins

Git

Airflow

Delta Lake

Iceberg

Job description

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

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Lead data integration and transformation, solving complex business problems with innovative engineering in a collaborative, growth focused team.