Lead Software Engineer - Python, Pyspark and AWS

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer specializing in Machine Learning and Cloud Technologies 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, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities
 Design and maintain Enterprise Machine Learning platforms using AWS infrastructure
 Provides Technical Leadership, guidance and direction to other team members
 Writes secure and high-quality code using the syntax of at least one programming language with python, Java
 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
 Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
 Leverages Cloud services to build ML pipeline to implement, deploy and produce Machine Learning Models
 Work with Business stakeholders, Data Science team and Product Owners to understand requirements.
 Work with Site Reliability Engineer for any infrastructure/production changes.
 Ingests data from multiple sources

Required qualifications, capabilities, and skills
 Formal training or certification on software engineering concepts and 5+ years applied experience in Python, Pyspark, AWS
 Hands-on practical experience in system design, application development, testing, and operational stability.
 Must have excellent knowledge in Apache Spark and programming languages ( preferably Python)
 Understands/learn the basic architecture of Cloud services and usage.
 Background on Big Data technologies such as Hadoop, Hive.
 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 skill
 Knowledge of any of the technologies like Kafka, Terraform, Kubernetes
 Exposure to artificial intelligence, machine learning, Data analytics.
 Python Machine Learning library and ecosystem experience (Pandas and Numpy etc.),