Lead Software Engineer - Java​/Boot​/AWS​/Big Data

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.

• 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 and 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.
• 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/Containers
• Hands‑on experience with AWS, including Amazon ECS (Fargate), API Gateway, AWS Lambda, Step Functions, Event Bridge, Aurora
  
  DB and its related services such as SQS/SNS, Cloud Watch, IAM, VPC, and S3.
• Experience with Cloud Computing, Spring boot, Spring cloud.
• Knowledge on Big Data technical stack
• Experience with Relational Databases & SQL
• Hands‑on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• 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.)

• 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 systems
• Practical cloud native experience
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle