Lead Software Engineer -Java, Python, Pyspark

JPMorgan Chase-posted 3 months ago
$133,000 - $185,000/Yr
Full-time • Senior
Chicago, IL
Credit Intermediation and Related Activities
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As a Lead Software Engineer at JPMorgan Chase within the COMMERCIAL & INVESTMENT BANK - Merchant service Funding team, you play a vital role in an agile team dedicated to enhancing, building, and delivering reliable, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you will be responsible for implementing essential technology solutions across diverse technical domains within various business functions, all in support of the firm's strategic objectives.

  • 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, opportunity, inclusion, and respect
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Proficiency in Java, Spring Boot, Python, and cloud platforms like AWS
  • Utilize cloud-native technologies such as AWS, Kubernetes (K8s), EKS, and ECS to build and deploy applications
  • Experience with containerization and orchestration tools such as Docker and Kubernetes
  • Familiarity with data processing frameworks like PySpark and messaging systems like Kafka
  • Strong understanding of relational databases, particularly PostgreSQL and RDS
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
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