
Lead Software Engineer, Java
3 weeks ago
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 Fusion Technology, you play a crucial role in an agile team dedicated to improving, developing, and providing reliable, cutting-edge technology products that are secure, stable, and scalable.
Job responsibilities
- Execute creative software solutions, design, develop, and troubleshoot with the ability to think beyond routine or conventional approaches to build solutions or analyze technical problems.
- Develop secure, high-quality production code, and review and debug code written by others.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
- Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
- Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies.
- Foster a team culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Bachelor's Degree in Computer Science or equivalent.
- Hands-on experience in system design, application development, testing, and operational stability.
- Expertise in Java application development using Java 17 or higher, Spring Boot, NoSQL databases like Cassandra, relational databases (Postgres, Oracle, Sybase, or MSSQL Server), Kafka.
- Proficiency in all aspects of the Software Development Life Cycle.
- Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security.
- Proven skills in software applications and technical processes within disciplines like cloud, artificial intelligence, machine learning, or mobile development.
- Practical experience with cloud-native technologies.
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