Lead Software Engineer - Java & Python

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 Consumer & Community Banking, you will play a crucial role in an agile team dedicated to developing, improving, and providing reliable, cutting-edge technology solutions that are secure, stable, and scalable.

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
• 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
• Leads 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
• 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 onsoftware engineeringconcepts and 5+ years applied experience

• Experience with Java, Microservices, Spring Boot, and Kafka
• Familiarity with Microservices architecture and related technologies such as Docker, Kubernetes, and API Gateway
• Experience with distributed tracing and monitoring tools such as Prometheus and Grafana
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• 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 software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

• Practical cloud native experience

• Good to have on Experience with AI technologies, including machine learning frameworks like TensorFlow or PyTorch
• In-depth knowledge of the financial services industry and their IT systems
• Good to have Python and AI