JPMorgan Lead Software Engineer - AWS & Java Full Stack 

United States, Florida, Tampa 

207295132

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, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• AWS lead engineering and solutions design experience
• AWS cloud expertise and hands-on AWS full stack software engineering experience at the code level
• Hands-on programming experience with Python at the code level
• Hands-on experience with AWS Lake Formation, AWS Glue, AWS Athena, EMR, Lambda, and Step-functions with API Gateway, AWS ECS, AWS EKS, AWS Fargate, AWS S3, AWS EC2
• Experience working with RDS databases is a must in one or more databases/data warehouses like Oracle, Aurora Postgres and snowflake
• Hands-on working experience with testing, releasing, and CI/CD pipeline deployments in AWS public cloud
• Hands-on working experience with Bitbucket, Terraform, Jenkins, Artifactory, DataDog, ServiceNow
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

• Knowledge and working experience in Big Data platform technologies that includes HDFS, Hive, Yarn, Spark, Flink or Kafka
• Demonstrated strength in leading and applying DevSecOps and DevOps development practices for a software development engineering team