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JPMorgan Lead Software Engineer - Java 
India, Maharashtra, Mumbai 
900369585

27.07.2024

Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Work closely with the product team to understand the business requirements and user acceptance testing teams to support during UAT phase.
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Adds to team culture of diversity, equity, inclusion, and respect
  • Have a defined goal based approach and adhere to committed timelines.

Position requirements:

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Extensive Design, coding, testing and debugging skills in Java and REACT JS Framework
  • Proficient in coding in Java 17, Spring Boot, and Databases
  • Advanced in two or more technologies – Functional Programming, Microservices, RESTful webservices development, JMS, Kafka, GraphQL
  • Cloud – Strong Hands-on Cloud Native Architecture - Azure / AWS, Containerization / Kubernetes
  • Solid understanding of agile methodologies, CI/CD, Non-Functional requirements like Resiliency, performance and Security.
  • Strong skills around object-oriented analysis and design (OOAD), data structures, algorithms, design patterns
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning etc.)
  • Excellent written and verbal communication skills
  • Excellent dealing with ambiguity skill

Preferred qualifications, capabilities, and skills

  • Understanding or experience with Language Models (LLM).
  • Experience with Machine Learning or AI technologies.
  • Exposure to cloud technologies
  • Exposure to Python programming language
  • Independent and self-motivated
  • Strong interpersonal and communication skills