JPMorgan Chase within Corporate Technology is looking for a Software Engineer III to design and deliver market-leading technology products that are secure, stable, and scalable, supporting various business functions to achieve the firm's business objectives.
Requirements
- Formal training or certification on software engineering concepts and 3+ years applied experience
- 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
- Proficient in coding in one or more languages including Python
- Experience with Python libraries and tools including Pandas, NumPy and Dask
- Experience with developing applications for AWS using the following AWS services: EKS/ECS, Lambda, RDS and S3.
- Experience with Spark and SQL.
- Experience with UI development using React JS, Flask, Django.
- Overall knowledge of the Software Development Life Cycle
- 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.)
- Experience with Java
- Experience with Cloud Foundry
- Experience with Test Driven Development, Selenium and Cucumber.
- Exposure to AI/ML
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
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- 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
Other
- Adds to team culture of diversity, opportunity, inclusion, and respect
