Lead Software Engineer - Hadoop

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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 applied experience
• Hands on experience, focusing on cloud and Big Data environments.
• Experience in leading and managing software engineering teams with successful project delivery.
• 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 for cloud resource management.
• Strong understanding of SDLC, agile methodologies, CI/CD, and exposure to AI and machine learning applications.

• Familiarity with Cloudera Data Platform
• Familiarity with Databricks and Open Table formats like Iceberg, Delta Lake
• AWS Cloud Certification will be plus
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.