Lead Software Engineer - Data/ Python/ 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 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 firm's 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 Certif...