
Overview
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Technology’s Data Platform Engineering organization, 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. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
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
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Adds to the team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Experience working in big data environment, working with structured, semi-structured and unstructured data.
- Hands-on practical experience in system design, application development, testing, and operational stability.
- Advanced knowledge of Java programming language.
- In-depth knowledge of software applications and technical processes in one or more technical disciplines like cloud, AI, machine learning, or mobile.
- Ability to tackle design and functionality problems independently with minimal oversight.
- Proficient in all aspects of the Software Development Life Cycle coupled with proficienncy in application, data, and infrastructure architecture disciplines.
- Proficient in cloud-native Microservices architecture, design, and implementation.
- Proficient in Event Driven Architecture and Application Containerization.
- Proficient in building applications on Public Cloud platforms like AWS, GCP, and Azure, with a preference for AWS.
- Proficient in real-time streaming applications using Apache Spark Streaming, Apache Kafka, Amazon Kinesis, and emerging cloud serverless managed services.
Preferred qualifications, capabilities, and skills
- Experience in banking/financial domain