We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorgan Chase within the Corporate Technology, Chief Data and Analytics Office Development Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Our Data Lake will provide a common lakehouse, that will ingest, transform and store our data sets, that will be used not only to train our AI systems, but also for inference across multiple use cases. The processing and persistence of data will be managed within the public cloud, and will utilise Big Data frameworks such as Databricks and Spark.

 

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 proficient applied experience Proficient in coding in Python and SQL Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Solid understanding of software applications and technical processes within a related technical discipline (e.g. data ingestion, data storage, data serving, APIs, etc.). Hands-on experience in data lake or data warehouse and related technologies (e.g. Spark, ETL, Databricks). Hands-on practical experience delivering system design, application development, testing, and operational stability Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

 

Preferred qualifications, capabilities, and skills

Exposure to cloud technologies (AWS or GCP) via hands on experience or certification