We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer - Data Solutions at JPMorgan Chase within the Corporate Technology, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to 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 Apache Spark, Snowflake/Data bricks Expertise in building robust, fault-tolerant, highly scalable data pipelines. Understands data governance and data modeling Advanced in one or more programming language(s) (e.g., Python, Java or Scala, and frameworks in Apache Spark, Snowflake / Data bricks  Hands-on experience using infrastructure-as-code services such as Terraform. Good understanding of distributed computing/databases and hands-on experience is using NOSQL databases. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience (e.g. public cloud technologies - AWS, Azure, or GCP) Preferred qualifications, capabilities, and skills 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