You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.
As a Full Stack Big Data Software Engineer III at JPMorgan Chase within the FRDC/Liquidity Risk Technology team, 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:
- End to end ownership including requirements, design, build, testing and deployment leveraging automation at all levels
- Creation and performance tuning of data processing pipelines as well as applications/services
- 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
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 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
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
- Experience with big data technologies such as Spark (ideally with Scala), Hadoop, Databricks or related technologies
- Experience with Java services with Spring Boot
Preferred qualifications, capabilities, and skills:
- Experience performance tuning and applying modelling concepts with data (SQL and/or no-SQL)
- Experience implementing design/architecture patterns (e.g. resiliency and security patterns)
- Exposure to cloud technologies
You’ve got this!