JPMorgan Lead Software Engineer- Python & AWS 

United Kingdom, Scotland 

185851644

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

• Contributes to software engineering communities of practice and events that explore new and emerging technologies

• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and applied experience

• Hands-on practical experience in system design, application development, testing, and operational stability

• Development experience in Java and/or Python

• Experience working with any tool (terraform) to provision AWS cloud services

• Experience of AWS Glue, AWS Athena & AWS S3

• Knowledge of Apache Parquet & open table formats such as Delta, Iceberg & Hudi

• Test Driven Development experience in using JUnit, Mojito or similar

• Extensive knowledge and work experience with distributed system and massively parallel processing

• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

• Overall knowledge of the Software Development Life Cycle

Preferred qualifications, capabilities, and skills

• Experience with big data technologies

• Knowledge in working with Databricks, Iceberg

• Familiarity with message bus technologies such as Kafka or AMPS and query engines such as AWS Athena & Redshift

• Knowledge with AWS Lake Formation

• Working knowledge of AWS Glue, AWS Athena & AWS S3

• Experience in financial industry