What are the responsibilities and job description for the Lead Software Engineer - Java/Python, AWS position at JPMorgan Chase?
We have an exciting and rewarding opportunity for you to take your Data engineering career to the next level.
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 Commerce Payments, 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
- Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions that could handle large volumes of data efficiently.
- Develop 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 and resiliency and of software applications and systems.
- Lead 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.
- Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
- Utilize AWS technologies to create and manage cloud-based applications, ensuring scalability and reliability.
- 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
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Solid understanding of data structures and algorithms.
- High proficiency in programming languages such as Java or Python and database querying languages.
- Strong hands-on experience with batch-based and Realtime data processing technologies like Spark, Kafka, Flink.
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in building and deploying applications in AWS Cloud platform services (e.g., S3, EMR, Lambda, Step function,..).
Preferred qualifications, capabilities, and skills
- Exposure to Machine Learning & Generative AI technologies