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JPMorgan Lead Software Engineer 
India, Karnataka, Bengaluru 
404423962

03.09.2024

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 in software engineering concepts and 5+ years applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s)
  • 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
  • Proficiency in microservices architecture and containerization technologies like Docker and Kubernetes.
  • In-depth knowledge of the financial services industry and their IT systems
  • Hands-on experience with Spring Framework, including Spring Boot, Spring MVC, Spring Data, and Spring Integration.
  • Proficiency in Apache Kafka for building scalable and distributed event-driven systems.
  • Hands-on experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
Preferred qualifications, capabilities, and skills
  • Familiarity with machine learning concepts and frameworks, such as TensorFlow, PyTorch or scikit-learn.
  • Certifications in Java programming or related technologies (e.g., Oracle Certified Professional, Spring Certification) is a plus.
  • Public cloud experience preferably in AWS.