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 problemsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads 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 architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds 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 experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityStrong 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 requiredExperience 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.)

 

Preferred qualifications, capabilities, and skill 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.