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JPMorgan Lead Software Engineer - Python AWS PySpark 
United States, Texas, Plano 
117922212

22.09.2024

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 on software engineering concepts and 5+ years of applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Strong experience in Python and PySpark
  • Experience in Cloud technologies - AWS, Kubernetes, Terraform
  • Experience in Framework Design and Development
  • Experience in Core Java 8 Onwards, Spring boot, spring-data, Rest API Programming, JavaScript
  • Experience in UX/UI - REACT
  • Experience in DevOps CI/CD, Maven, Bit bucket / GITHUB
  • Experience in Database - Dynamo DB, AWS RDS MySQL Aurora
  • Experience in Big Data Technologies stack, Apache Spark
Preferred qualifications, capabilities, and skills
  • Expertise in Docker containers, Kubernetes platforms and Kafka or other messaging queueing technology is a plus
  • Experience with data visualization and alerting tools such as Tableau, Grafana, etc.
  • Experience with and/or genuine passion for artificial intelligence