Software Engineer - Python and Big Data

Software Engineer II - Python, Big data

We have an exciting opportunity for you to advance your software engineering career and shape the future of technology.

Job summary

As a Software Engineer at JPMorgan Chase within the Corporate Technology, you work within an agile team to design and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You are responsible for implementing critical technology solutions across multiple technical areas in support of the firm’s business objectives.

Job responsibilities

• Designs and develops creative software solutions and performs technical troubleshooting to solve complex problems
• Creates secure, high-quality production code and reviews and debugs code written by others
• Identifies opportunities to automate remediation of recurring issues to improve operational stability
• Leads evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials
• Collaborates with product managers, data scientists, machine learning engineers, and other stakeholders throughout the software development lifecycle
• Adds to team culture of diversity, inclusion, and respect
• Stays informed about advancements in large language models and generative AI, implementing new techniques and leveraging external APIs

Required qualifications, capabilities, and skills

• Formal training or certification in software engineering concepts and 2+ years of applied experience
• Strong skills in programming languages such as Python or Java
• Experience developing and maintaining applications on public cloud platforms

Preferred qualifications, capabilities, and skills

• Experience with big data technologies, preferably Spark and Databricks
• Experience with Databricks platform
• Proficiency in PySpark
• Familiarity with AWS
• Experience in automation and continuous delivery methods
• Exposure to machine learning operations

Experience Level

Mid Level