Lead Software Engineer- Python, AIML, Cloud

We offer an opportunity to shape your career and embark on an exciting journey where you can push the boundaries of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking - Applied AI/ML team, you are an integral member of an agile group dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner.

As a core technical contributor, you will drive critical technology solutions across multiple technical domains and business functions, supporting the firm's strategic objectives.

Job Responsibilities


* Design, develop, and troubleshoot software solutions for complex business challenges


* Write secure, high-quality production code and review code from team members


* Identify and automate remediation of recurring issues to improve system stability


* Lead architectural design sessions and provide technical guidance for on-premises and cloud systems


* Promote adoption of new technologies through internal communities of practice


* Foster a culture of diversity, equity, and respect within the team


* Develop and maintain applications using Python and AWS


* Create and review architecture and design deliverables, ensuring best practices are followed


* Integrate AI/ML solutions into domain-specific operations processing systems


* Lead code reviews, design discussions, and agile planning sessions


* Collaborate with Site Reliability Engineering and monitoring teams to ensure system reliability and performance

Required Qualifications, Capabilities, and Skills


* Formal training or certification on software engineering concepts and 5+ years applied experience


* Strong experience building and running applications on AWS or other public cloud platforms


* Advanced proficiency in Python programming


* Proven experience in system design, application development, testing, and maintaining operational stability


* Skilled in automation, continuous delivery, and the full Software Development Life Cycle


* Experience with data processing pipelines and Directed Acyclic Graphs (DAGs) for machine learning or data workflows


* Demonstrated expertise in cloud, artificial intelligence, and machine learning technologies


* Understanding of IT systems in the financial services industry


* Experience with code reviews and agile methodologies


* Ability to communicate technical concepts clearly to both technical and non-technical stakeholders


* Commitment to continuous learning and creative problem-solving

Preferred Qualifications, Capabilities, and Skills


* Experience with Cloud services, Infrastructure as Code (e.g., Terraform), and containerized application development


* Familiarity with data storage systems such as Postgres and OpenSearch, and AWS services including S3, SageMaker, and Bedrock


* Practical experience with Kubernetes, EKS...