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 Software Engineer II - Big Data/Java/Scala at JPMorgan Chase, you will join the Liquidity risk (LRI) team to design and implement the next generation buildout of a cloud native liquidity risk (LRI) management platform for JPMC.  The Liquidity risk technology organization aims to provide comprehensive solution to managing the firm’s liquidity risk and to meet our regulatory reporting obligations across 50+ markets.   The program will include strategic the buildout of advanced liquidity calculation engines, incorporate AI and ML into our liquidity risk processes, and bring digital first reporting capabilities. The target platform must process 40-60 million transactions and positions daily, calculate risk presented by the current actual as well as model-based what-if state of the market, build multidimensional picture of corporate risk profile, and provide ability to analyze it in real time 

Job Responsibilities: 

Executes standard software solutions, design, development, and technical troubleshooting 

Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation 

Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development 

Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems 

Contributes to team drive for continual improvement of development process and innovative solutions to meet business needs 

Applies appropriate dedication to support the business goals through technology solutions 

Required Qualifications, Capabilities, and Skills: 

Formal training or certification on software engineering concepts and 3+ years applied experience

3+ years of hands-on development experience and in-depth knowledge of Java , Python , Scala, Spark, Databricks Bigdata related technologies 

Hands-on practical experience in system design, application development, testing, and operational stability 

Hands-on experience on Databricks

Experience across the whole Software Development Life Cycle 

Exposure to agile methodologies such as CI/CD, Applicant Resiliency, and Security 

Emerging knowledge of software applications and technical processes within a technical discipline  

Ability to work closely with stakeholders to define requirements 

Interacting with partners across feature teams to collaborate on reusable services to meet solution requirements 

Experience of working in big data solutions with evidence of ability to analyze data to drive solutions 

Preferred Qualifications, Capabilities, and Skills: 

Exposure to cloud technologies (AWS)  & Databricks