Lead Software Engineer AWS

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 firms 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