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.