When you mentor and advise multiple technical teams and move financial technologies forward, it's a big challenge with big impact. You were made for this.
As a Senior Manager of Software Engineering at JPMorgan Chase within the Corporate Technology- Consumer & Community Bank Risk 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
- Manage a team of 10 people and provide guidance to emerging talents
- 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. In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
- Hands-on experience in software engineering, system design, and application development.
- 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 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.
