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 for Enterprise Technology Business, 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:

• Techno-functional expertise in the financial domain, driving business stakeholder engagements.
• Manage Business stakeholder relationship, particularly in the US time zone. Document requirement on an ongoing basis and liaise between Tech development teams and Business.
• 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
• 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 3+ years applied experience
• Solid hands-on experience with Relational Databases, advanced SQL performance tuning
• Exposure to Data Science / Machine Learning projects using Pandas, Numpy, Polars or other ML libraries
• Experience on building data analytics solutions using business intelligence tools such as ThoughtSpot, Tableau, Qlickview
• Experience with Python programing language including advanced features such as decorators, collections and generators to handle large volumes of data
• Experience in designing building, and optimizing ETL data pipelines using Databricks, Pyspark, and SparkSQL
• 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
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Experience with ETL tools such as Informatica PowerCenter, Data Stage, Pentaho
• Exposure to cloud technologies