What are the responsibilities and job description for the Lead Software Engineer - Data/ Python/ AWS position at JPMorgan Chase?
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 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
