Lead Software Engineer - Java, Cloud

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 Payment Technology Digital Channels department, you play a crucial role in an agile team dedicated to improving, developing, 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

• 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
• Strong development background in Java, Spring Boot, RDBMS, RESTful APIs, Kubernetes, Kafka, MongoDB, Elastic Search
• Experience with SDLC, CI/CD toolsets, Automation, standard IDEs
• Experience with Public Cloud & related Technologies (ECS, S3, Lambda, Elastic Search, MongoDB, Athena, Glue) is required
• Experience with Agile, Test-driven development is must.
• In-depth knowledge of various software architecture solution patterns with experience in building well architected applications on heterogenous infrastructure topologies - private/public clouds and heritage bare-metal platforms is must.
• 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.)

• Technologist with strong fundamentals in Computer Science, with experience in data oriented architectures.
• Strong client focus & ability to work as a team player.
• Problem solver across domains with high tolerance to ambiguity.
• Interest and enthusiasm in adopting new avenues of solving problems such as AIML, data science, and such.
• Ability to articulate and communicate the ideas effectively & concisely.