Lead Software Engineer - Java Full Stack, Aws

JPMorgan Chase JPMorgan Chase · Banking · Hyderabad, Telangana, India · Consumer & Community Banking

Lead Software Engineer responsible for designing, developing, and troubleshooting technology solutions within an agile team at JPMorgan Chase. Focuses on enhancing, building, and delivering secure, stable, and scalable products, with an emphasis on automation, continuous delivery, and cloud-native practices.

What you'd actually do

  1. 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
  2. Develops secure high-quality production code, and reviews and debugs code written by others
  3. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  4. 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
  5. Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Skills

Required

  • Java
  • Spring Boot
  • SQL
  • NoSQL
  • Kafka
  • MQ
  • AWS
  • Cloud Platforms
  • System Design
  • Application Development
  • Testing
  • Operational Stability
  • Automation
  • Continuous Delivery
  • Software Development Life Cycle
  • Agile Methodologies
  • CI/CD
  • Application Resiliency
  • Security
  • Cloud Native

What the JD emphasized

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Experience in Java, Spring Boot, Database (Sql & NoSql), Messaging Systems (Kafka, MQ), AWS or any cloud platform
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • 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.)
  • Practical cloud native experience