Lead Software Engineer - AWS

JPMorganChase; Dublin; On-site; EUR 85,000 - 105,000; Full time

Job summary

JPMorgan Chase is looking for a Manager of Software Engineering within its Workforce Technology team in Dublin, Ireland. This position involves leading a team in enhancing and delivering software solutions while ensuring secure, stable, and scalable operations. The ideal candidate will have extensive experience in data integration projects, strong knowledge of AWS and Big Data technologies, as well as the ability to manage a team effectively. A hands-on approach to development is essential.

Qualifications

• Experience in data integration projects using Big Data Technologies.
• Experience in managing a team of at least 5-10 engineers.
• 5+ years hands-on experience on Spark engineering with PySpark/Scala.

Responsibilities

• Manage data integration and data analysis of disparate systems.
• Build extensible data acquisition and integration solutions.
• Implement processes to extract, transform, and distribute data across data stores.

Skills

Data integration projects using Big Data Technologies

Managing a team of at least 5-10 engineers

AWS Data Warehousing and database platforms

Hands-on experience on Spark engineering with PySpark/Scala

CICD using Jenkins, Git, Artifactory

Big Data querying tools

Integrating data from different types of file-storage formats

Java open-source knowledge

Using AI-assisted developer productivity tools

Building scalable, high-performance distributed services/systems

Data Warehousing and Data Modeling

Oracle/SQL and NoSQL data stores

Job description

Job Description

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
• 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)
• Work 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 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)
• 5+ years 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
• 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 open‑source, 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

Equal Opportunity Employer and EEO Statement

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.