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JPMorgan Lead Software Engineer - Java/AWS/Databricks 
United States, Ohio, Columbus 
982421891

Yesterday

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 onsoftware engineeringconcepts and 5+ years applied experience
  • BS/BA degree or equivalent experience.
  • 5+ years of experience in Java/J2EE, JavaScript, Angular (v18), React (Advanced state management) and REST Services; 3+ in Advanced Java
  • 5+ years of relational database software development experience (Oracle).
  • 5+ years of experience with full development lifecycle from inception through implementation.
  • 3+ years of experience in AWS Technologies: ECS, Lambda, EKS, IAM Roles/Policies, S3, Kinesis, SQS, SNS.
  • Experience with Databricks, managing Databricks Asset Bundles (DABS), and implementing Delta Live Tables (DLT) workflows.
  • Experience with Agile (Scrum) methodology.
  • Ability to work in large, collaborative teams to achieve organizational goals.
  • Writing high-performance, reliable, and maintainable code; preparing unit test cases and validating results.
  • Strong understanding of software engineering principles and practices, including version control, testing, and code optimization
Preferred qualifications, capabilities, and skills
  • Advanced problem-solving skills with the ability to drill deep into issues to drive solutions.
  • Proficiency in front-end technologies: Highcharts for data visualization, Bootstrap for responsive design, and UI Accessibility.
  • Expertise in data processing and analysis using Spark (PySpark), Python, and SQL for handling large datasets and complex workflows.
  • Proficiency with development tools: Jenkins, Git/BitBucket, Jira, etc.
  • Understanding of software skills: business analysis, development, maintenance, and software improvement.
  • Familiarity with Infrastructure as code toolset: Terraform.
  • Knowledge of industry-wide technology trends and best practices; passionate about building an innovative culture