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JPMorgan Sr Lead Software Engineer - Public Cloud Services 
United States, Texas, Plano 
98357001

21.09.2024

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.
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies.
  • Adds to team culture of diversity, equity, inclusion, and respect.
  • Works with public cloud services with focus on data and ML engineer persona’s.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Extensive experience in the following: Cloud Services such as AWS or Azure; Java and Python; Maven; UNIX; Microservices; GIT; REST web services; Software Development; SQL; Databases; Messaging and Events; Caching; Spark; Big Data storage, processing, and consumption.
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
  • Overall knowledge of the Software Development Life Cycle (SDLC)
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, etc.)