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
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