Lead Software Engineer - Java 17+, SpringBoot, Kafka, Microservices
Aumni
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 Commercial & Investment Bank's Markets Technology - Broker-Dealer group, you will be 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
- Writes secure, high-quality production code and performs code reviews and debugging for peers.
- 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 outcome-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
- Serves as a function-wide subject matter expert in one or more areas of focus
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Strong knowledge in Core Java (Java 17+), Spring Boot, REST, Kafka, Microservices, Agile, DevOps
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Strong written and oral communication and excellent presentation and influencing skills
- Proven ability to collaborate with global agile teams
- Deep experience in object oriented analysis and design (OOAD)
- Good SQL/PL-SQL Skills and Hibernate/JPA
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Stay abreast of industry trends, emerging technologies, hands-on experience in usage of AI related tools in everyday work.
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud for deploying and managing AI solutions.
Preferred qualifications, capabilities, and skills
- Holds AWS certification(s) and has practical experience with AWS services, Spark, AWS Glue ETL, and Python.
- Practical experience with machine learning and AI technologies (such as Python, TensorFlow, and Scikit-learn) is a plus.
- Understanding of equities or fixed income products and familiarity with the trade lifecycle.
- Experience working with enterprise-scale data assets such as MDM, EDW, and data lakes, and navigating diverse technology landscapes and process/technology integration challenges.
- Experience in leading or contributing to modernization projects involving migration of mainframe applications to distributed technologies.
Carry out critical tech solutions across multiple technical areas as an integral part of an agile team