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 Commercial & Community Risk Technology, you are 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.

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 and 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 experience.10+ years proven hands-on Java, J2ee, Front End (React) based technical skills.Experience with development of microservices and REST API using Spring Boot, experience with Kubernetes/ContainersHands-on experience with AWS, including Amazon ECS (Fargate), API Gateway, AWS Lambda, Step Functions, EventBridge,  AuroraDB and its related services such as SQS/SNS, CloudWatch, IAM, VPC, and S3.Experience with Cloud Computing, Spring boot, Spring cloud.Knowledge on Big Data technical stackExperience with Relational Databases & SQLHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s)Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills:

Experience with Scala and Spark is a valuable asset.Familiarity with AI/ML concepts is an added advantage.Proficiency in Unix, shell scripting, and Python is considered a plus.In-depth knowledge of the financial services industry and their IT systemsPractical cloud native experienceProficiency in automation and continuous delivery methodsProficient in all aspects of the Software Development Life Cycle