Lead Software Engineer Data Python AWS

Description

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

As a Lead Software Engineer at JPMorgan Chase within the Technology Division 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

• Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code and reviews and debugs code written by others. Build scalable robust and secure data infrastructure solutions using Python on AWS.
• Architect and implement data pipelines and platform components using Apache Iceberg Databricks AWS Glue and DuckDB.
• Use tools like AWS CloudFormation and Terraform to automate deployment and management of cloud resources.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors startups and internal teams to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity opportunity inclusion and respect

Required qualifications capabilities and skills

• Formal training or certification on Software Engineering concepts and 5 years applied experience in Python and/ or Data engineering space.
• Hands-on practical experience delivering system design application development testing and operational stability
• Strong proficiency in Python. Hands-on experience with AWS services (ECS EKS Lambda S3 IAM RDS Fargate Glue etc.).
• Experience with data lake technologies especially Apache Iceberg Databricks AWS Glue and DuckDB.
• Experience with monitoring and alerting tools (CloudWatch X-Ray Prometheus Grafana Splunk).
• Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

Preferred qualifications capabilities and skills

• AWS Certifications (e.g. Solutions Architect Developer Data Analytics)
• Experience with NLP AI/ML workflow orchestration or advanced analytics pipelines
• Prior experience in building enterprise-scale data platforms or analytics solutions
• Experience with containerization (Docker Kubernetes) and cloud-native patterns