Lead Software Engineer-Python​/Data Engineering

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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.

• 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 product ionize 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.

• 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, Tensor Flow and Sage Maker
• 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.

• Background with Machine Learning Frameworks and MLOps
  .
• Python Machine Learning library and ecosystem experience (Pandas and Numpy etc.)
• Experience or knowledge in Databricks
  .