What are the responsibilities and job description for the Lead Software Engineer-Python/Data Engineering position at JPMorgan Chase?
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As a Lead Software Engineer-Python/Data Engineering, Machine Learning and Cloud at JPMorgan Chase within the Corporate Technology- Consumer & Community Bank Finance group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor and lead, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Executes standard software solutions, design, development, and technical troubleshooting
- Provides Technical Leadership, guidance and direction to other team members
- Writes secure and high-quality code using Python or Java programming languages
- Establish standards, guidance and best practices for the technical aspects in the team
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applying technical troubleshooting skills to analyze and resolve technical issues
- Leverages Cloud services to build ML pipeline to implement, deploy and productionize ML Models
- Works with Business stakeholders and Product Owners to understand requirements.
- Handle MLOps tasks and any associated infrastructure or production changes in coordination with SRE.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 5 years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability.
- Demonstrates a proactive attitude and eagerness to learn emerging technologies, including AI and ML.
- Experience in technologies such as Pyspark, Kafka, Terraform, Kubernetes.
- Experience with AWS services, including but not limited to ECS, EMR, Lambda, EC2, TensorFlow and SageMaker
- Experience in programming languages such as Python or Java.
- Understanding of and ability to learn the basic architecture of Cloud services and usage.
- Experience working with databases such as Oracle or Cassandra.
- Exposure to Agile and scrum methodologies.
- Familiarity with CI/CD, Application Resiliency, and Security.
Preferred qualifications, capabilities, and skills
- Background with Machine Learning Frameworks and MLOps.
- Python Machine Learning library and ecosystem experience (Pandas and Numpy etc.)
- Experience or knowledge in Databricks.