Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Chief Technology Office team, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. We are looking for a Data Engineer to help us with the design, development, deployment, delivery, and maintenance of AI products to our clients. In this role, you will lead a team of other software engineers, and work closely with data engineers & research scientists. You will serve as a seasoned member of an existing agile team that will deliver trusted market-leading AI technology products in a secure, stable, and scalable way.

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
• Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification of software engineering concepts with 5+ years applied experience
• Exposure to cloud technologies (AWS or GCP) via hands on experience or certification
• Solid understanding of software applications and technical processes within a related technical discipline (e.g. data ingestion, data storage, data serving, APIs, etc.)
• Hands-on experience in data lake or data warehouse and related technologies (e.g. Spark, ETL, Databricks)
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Extensive development experience using Python/SQL

Preferred qualifications, capabilities, and skills

• Ability to tackle design and functionality problems independently with little to no oversight
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field