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

As a Python / Spark Big Data Software Engineer III at JPMorgan Chase within the Capital Reporting product, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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 Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development 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 cloud or microservice architecture concepts and proficient applied experience Demonstrated knowledge of software applications and technical processes within a cloud or microservice architecture. Hands-on practical experience in system design, application development, testing, and operational stability 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 Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security

Preferred qualifications, capabilities, and skills:

Skilled with Python or PySpark Exposure to cloud technologies Databricks,Airflow, Astronomer, Kubernetes, AWS, Spark, Kafka) Experience with Big Data solutions or Relational DB. Experience in Financial Service Industry is a bonus.