Senior Manager - Software Engineering (Machine Learning & Cloud)

Senior Manager of Software Engineering - Machine Learning & Cloud

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.