Lead Software Engineer - Hadoop

Global financial services firm providing technology-driven solutions in banking and finance.
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Finance · Enterprise SaaS

Description For Lead Software Engineer - Hadoop

As a Lead Software Engineer at JPMorgan Chase within the Chief Technology office, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. The role focuses on big data technologies, particularly Hadoop ecosystem, and cloud platforms. You'll be responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. The position requires expertise in cloud services, big data tools, and leadership capabilities to drive technical excellence and innovation. You'll work with cutting-edge technologies while contributing to the firm's digital transformation initiatives, making impactful decisions that shape the future of financial technology.

Last updated 16 hours ago

Responsibilities For Lead Software Engineer - Hadoop

  • Executes creative software solutions, design, development, and technical troubleshooting
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues
  • Leads evaluation sessions with external vendors, startups, and internal teams
  • Leads communities of practice across Software Engineering
  • Adds to team culture of diversity, equity, inclusion, and respect

Requirements For Lead Software Engineer - Hadoop

Python
Java
Kubernetes
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands on experience, focusing on cloud and Big Data environments
  • Experience in leading and managing software engineering teams
  • Proficiency in programming languages like Python or Java, with cloud-native development experience
  • Expertise in AWS services (Data Lakes, EMR, EKS/ECS, Glue) and Hadoop ecosystem tools
  • Experience with Infrastructure as Code (IaC) tools like Terraform
  • Strong understanding of SDLC, agile methodologies, CI/CD
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field

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