Software Engineer III - Python / Spark Big Data

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 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 Python concepts and 3+ years applied experience.
• Demonstrated knowledge of software applications and technical processes within a cloud or microservices 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

• Exposure to cloud technologies (Airflow, Astronomer, Kubernetes, AWS, Spark, Kafka) 
• Experience with Big Data solutions or Relational DB. 
• Experience in Financial Service Industry is nice to have.