JPMorgan Chase & Co.
As Lead Software Engineer at JPMorganChase within the Corporate Enterprise technology line of business, you will drive the design, development, and deployment of robust technology solutions using C++, PySpark/Scala, and AWS. In this leadership role, you will oversee a team of developers, architect scalable systems, and ensure best practices in coding, testing, and cloud integration. You will collaborate closely with cross-functional teams to deliver high-performance applications, mentor junior engineers, and contribute to strategic technology decisions.
Key Responsibilities
Lead the design, development, and deployment of complex regulatory model applications and cloud modernization initiatives.
Architect and implement scalable, secure, and efficient solutions for processing large data volumes.
Oversee and mentor a team of developers, fostering technical excellence and best practices.
Collaborate with cross-functional teams and stakeholders to define requirements and deliver innovative solutions.
Ensure code quality, performance optimization, and adherence to industry standards.
Contribute to strategic technology decisions and project leadership.
Effectively manage multiple tasks and priorities in a fast-paced, dynamic environment.
Provide hands-on delivery and actively participate in the implementation of technical solutions.
Qualifications
Formal training or certification on software engineering concepts and 5+ years applied experience.
Deep professional experience specializing in Spark (PySpark/Scala), AWS, and machine learning.
Strong data engineering experience, including processing and architecting solutions for large-scale data.
Proven project lead or team lead experience is highly desirable.
Deep understanding of cloud architecture and distributed systems.
Excellent leadership, communication, and stakeholder management skills.
Demonstrated ability to thrive in dynamic environments and navigate ambiguity.
C++ development experience is desirable.
Hands-on experience in delivering technical solutions.
Track record of delivering enterprise-grade software solutions.
Experience in cloud architecture and distributed systems.
Preferred qualifications, capabilities, and skills
Advanced degree in Computer Science or related field
Experience in C++
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Key Responsibilities
Lead the design, development, and deployment of complex regulatory model applications and cloud modernization initiatives.
Architect and implement scalable, secure, and efficient solutions for processing large data volumes.
Oversee and mentor a team of developers, fostering technical excellence and best practices.
Collaborate with cross-functional teams and stakeholders to define requirements and deliver innovative solutions.
Ensure code quality, performance optimization, and adherence to industry standards.
Contribute to strategic technology decisions and project leadership.
Effectively manage multiple tasks and priorities in a fast-paced, dynamic environment.
Provide hands-on delivery and actively participate in the implementation of technical solutions.
Qualifications
Formal training or certification on software engineering concepts and 5+ years applied experience.
Deep professional experience specializing in Spark (PySpark/Scala), AWS, and machine learning.
Strong data engineering experience, including processing and architecting solutions for large-scale data.
Proven project lead or team lead experience is highly desirable.
Deep understanding of cloud architecture and distributed systems.
Excellent leadership, communication, and stakeholder management skills.
Demonstrated ability to thrive in dynamic environments and navigate ambiguity.
C++ development experience is desirable.
Hands-on experience in delivering technical solutions.
Track record of delivering enterprise-grade software solutions.
Experience in cloud architecture and distributed systems.
Preferred qualifications, capabilities, and skills
Advanced degree in Computer Science or related field
Experience in C++
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