JPMorgan Senior Lead Software Engineer - Data Solutions 

United States, Texas, Plano 

76267991

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 firm wide 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, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• 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
• Advanced in one or more programming language(s) (e.g., Python, Java, or Scala, and big data expertise in Apache Spark, Snowflake, Data Bricks, 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
• Practical cloud native experience (e.g., AWS, Azure, or GCP).
• Demonstrates proficient experience in using infrastructure-as-code services (e.g., Terraform)
• Good understanding of distributed computing/databases and hands-on experience in using NOSQL databases
• Expertise in building robust, fault-tolerant, highly scalable data pipelines

• Demonstrates knowledge of Py-Spark, Python, SQL, Snowflake, and Data bricks
• Experience with cloud technologies, specifically with AWS EMR, AWS Glue, AWS Lambda, and AWS ECS