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JPMorgan Sr Lead Software Engineer 
United States, New Jersey, Jersey City 
738147283

25.06.2024

Job responsibilities

  • Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Create secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contribute to software engineering communities of practice and events that explore new and emerging technologies
  • Add 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
  • Advanced in one or more programming language(s)
  • Proficient with coding in Scala
  • Experience with AWS S3
  • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • 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
  • 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, mobile, etc.)

Preferred qualifications, capabilities, and skills

  • Familiarity with modern front-end technologies
  • Experience in Python programming
  • Experience with data lakes, delta lakes, data validation/ingesting/pipelines
  • Hands-on experience with Databricks and Atoti a huge plus