Lead Software Engineer-Python/Data Engineering, Machine Learning and Cloud

About the Role

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 – 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.

Responsibilities

• Execute standard software solutions, design, development, and technical troubleshooting.
• Provide technical leadership, guidance, and direction to other team members.
• Write secure and high‑quality code using Python or Java programming languages.
• Establish standards, guidance, and best practices for the technical aspects in the team.
• Apply knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation.
• Apply technical troubleshooting skills to analyze and resolve technical issues.
• Leverage cloud services to build ML pipelines to implement, deploy, and productionize ML models.
• Work 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.
• Hands‑on practical experience in system design, application development, testing, and operational stability.
• Proactive attitude and eagerness to learn emerging technologies, including AI and ML.
• Experience with technologies such as PySpark, Kafka, Terraform, Kubernetes.
• Experience with AWS services, including but not limited to ECS, EMR, Lambda, EC2, TensorFlow, 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 (e.g., Pandas, NumPy, etc.).
• Experience or knowledge in Databricks.