Software Engineer [Multiple Positions Available]
About The Position
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. The Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. This Software Engineer position involves designing and developing high-volume data pipelines and web services, architecting distributed computation and parallel processing data flows, and taking responsibility for SRE and DevOps. The role also includes defining SLIs and SLAs, partnering with other groups for data sourcing, performing data research and analysis, implementing web annotation components and reactive applications, creating test cases, and ensuring system redundancy, fault tolerance, and uninterrupted customer experience.
Requirements
- Master's degree in Computer Science, or related field of study.
- Two (2) years of experience in the job offered or as Software Development, Application Developer, Software Development & Research, Global Product & Technology, or related occupation.
- Experience with building AWS EKS front end applications that utilize ReactJS and Javascript to support critical product initiative.
- Experience with developing Enterprise scale RESTful API by utilizing Java, Spring Boot, and Maven to resolve application dependencies.
- Experience with building telemetry by using Java and creating metrics tracking dashboard in Datadog to improve stability and resiliency.
- Experience with performing data manipulation, data structuring, data design flow and query optimization using SQL and Python.
- Experience with designing exploratory data analysis within large enterprise databases to extract, clean, transform by using data modeling and Python.
- Experience with developing and automating Spark data processing engine to drive and improve product experience by using Pyspark.
- Experience with building and loading data from AWS s3 into AWS Redshift and DynamoDB database by using Python.
Responsibilities
- Design and develop highly volume data pipelines.
- Design and develop web services to offer our data via API.
- Architect distributed computation and parallel processing data flows.
- Responsible for SRE and DevOps.
- Define SLIs and SLAs for all layers of the system.
- Partner with upstream and Systems of Record groups to establish data sourcing.
- Perform data research, engineering and analysis.
- Implement web annotation components.
- Implement reactive application for multiple treasury service.
- Create test cases.
- Load and transform data from big data platform into downstream database systems.
- Draft data model and API contracts for multiple products.
- Work to ensure redundancy, fault tolerance, and uninterrupted customer experience.
Benefits
- competitive total rewards package including base salary
- discretionary incentive compensation
- comprehensive health care coverage
- on-site health and wellness centers
- a retirement savings plan
- backup childcare
- tuition reimbursement
- mental health support
- financial coaching
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
