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 JPMorganChase within the Consumer and Community Banking - Card & Connected Commerce, youare 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 deploy cloud-native applications using AWS services (EMR, S3, Lambda, RDS, DynamoDB, ECS, EKS, etc.).
- Automate infrastructure provisioning and application deployment using AWS tools (Terraform, AWS CDK).
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Monitor, troubleshoot, and optimize application performance and reliability in the AWS environment
- Ensuring security and compliance by implementing IAM policies, encryption, and monitoring.
- 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 and5+ years of applied experience
- Advance level skills in programming languages like Python or Java
- Extensive hands-on experience with AWS cloud services and infrastructure
- Experience with developing /maintaining applications on Public Cloud
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Experience with Batch and Real-time/streaming pipelines, building end-to-end design of ETL/ELT in Spark, orchestration (Airflow), schema evolution, and backfills
- Proficiency in automation and continuous delivery methods
- In-depth Experience with BigData, Spark and Databricks
Hands-on practical experience delivering system design, application development, testing, and operational stability
Preferred qualifications, capabilities, and skills
- AWS certifications (Solutions Architect, Data Engineer, Developer)
- Familiarity with GenAI & code generation tools like Copilot, Claude
- Familiarity with modern, cloud-based data platforms like Snowflake or Databricks
- Data modeling, Data security and Privacy controls in Financial Industry
- Experience with developing /maintaining applications on Public Cloud
