Software Engineer II Pyspark and Python

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Software Engineer at JPMorgan Chase within the Corporate Technology space, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Follows best development practices across Software Engineering to drive awareness and use of new and leading-edge technologies.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years of applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Strong experience in Python and PySpark
• Experience in Cloud technologies - AWS, Kubernetes, Terraform  
• Experience in Framework Design and Development
• Experience in Core Java 8 Onwards, Spring boot, spring-data, Rest API Programming, JavaScript 
• Experience in UX/UI - REACT 
• Experience in DevOps CI/CD, Maven, Bit bucket / GITHUB  
• Experience in Database - Dynamo DB, AWS RDS MySQL Aurora 
• Experience in Big Data Technologies stack, Apache Spark 

Preferred qualifications, capabilities, and skills

• Expertise in Docker containers, Kubernetes platforms and Kafka or other messaging queueing technology is a plus
• Experience with data visualization and alerting tools such as Tableau, Grafana, etc.
• Experience with and/or genuine passion for artificial intelligence