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

• 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