Software Engineer III - Java, PySpark
Software Engineer III - Java, PySpark
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Job Description
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 Technology Division 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 firms business objectives.
Job responsibilities
- Executes standard software solutions design development and technical troubleshooting
- Writes secure and high-quality code using Python or Java programming languages
- Uses tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applyies technical troubleshooting skills to analyze and resolve technical issues
- Leverages Cloud services to build ML pipeline toimplement deploy and productionize ML Models
- Works with Business stakeholders and Product Owners to understand requirements.
- Works with SRE for any infrastructure/production changes.
- Ingestsdata from multiple sources
- Adds to team culture of diversity equality inclusion and respect.
Required qualifications capabilities and skills
- 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
- Aptitude and willingness to learn new technologies
- Experience in technologies such as pyspark Kafka Terraform Kubernetes
- Experience with AWS services including but not limited to ECS EMR Lambda EC2and SageMaker
- Experience in programming languages such asPython or Java
- Understanding of and ability to learn the basic architecture ofCloud servicesand usage
- Experience working with databases such asOracleorCassandra
- Familiarity withCI/CD Application Resiliency and Security
- Hands on experience with software applications and technical processes withinanytechnical discipline such ascloud artificial intelligence machine learning Data analytics
Preferred qualifications capabilities and skills
- Background with Machine Learning Frameworks and Big Data technologies such asHadoopHive
- Python Machine Learning library and ecosystem experience (Pandas and Numpy etc.)
- Exposure toAgile and scrum methodologies
Employment Type
Full-Time
