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 problemsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads 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 architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds 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 experienceHands 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.Preferred qualifications, capabilities, and skillsFamiliarity with Cloudera Data PlatformFamiliarity with Databricks and Open Table formats like Iceberg, Delta LakeAWS Cloud Certification will be plusBachelor's or Master's degree in Computer Science, Engineering, or a related field.