Lead Software Engineer - Big Data, Spark, Python, AWS

Experienced Lead Software Engineer

Push the limits of what's possible with us as an experienced member of our Software Engineering team.

As an Experienced Lead Software Engineer at JPMorgan Chase within the Corporate Technology team, you will be a key member of an agile team, responsible for designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. Depending on the team you join, your role may involve developing mobile features to enhance customer and client banking experiences, strategizing on leveraging big data to accelerate our trading systems, innovating payment solutions for merchants, or supporting the integration of our private and public cloud platforms.

Job Responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 8+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language including Java and/or Python
• Strong Big-Data and database skills including Spark, Databricks, and/or Data Lake
• Experience with AWS cloud computing using ECS, EKS, EMR, Lambda, etc.
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Experience in developing, debugging, and maintaining code in a large corporate environment
• Ability to collaborate well with global teams in geographically distributed locations across time zones
• Self-starter, able to reach out to various team members, users and partner teams to get solutions delivered
• Familiar with agile development methodologies (e.g., Scrum) and CI/CD, Applicant Resiliency, and Security

Preferred Qualifications, Capabilities, and Skills

• AI, ML, Claude