Lead Software Engineer

Description:

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 Lead Software Engineer at JPMorgan Chase within the Corporate Sector's Engineering and Architecture Data Solutions 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.

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

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Extensive hands-on experience with PySpark, and ETL/Streaming Pipelines.
• Experience in AWS services such as SQS, Lambda, S3 and RDS.
• Proficiency in Alteryx, Tableau, ThoughtSpot, and SQL.
• Knowledge and deep understanding of AWS concepts, including glue and EMR.
• Advanced in one or more programming language(s) like python
• 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
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

• Experience in software applications and technical processes within a technical discipline (e.g., cloud.)
• Experience with Shell scripting, Unix
• Proficiency using Terraform
• Practical LLM use case development experience using OpenAI Azure.
• Familiarity with modern LLM techniques