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 at JPMorgan Chase within the Global Banking, Data, Analytics & Technology division, you will play a vital role in an agile team dedicated to enhancing, developing, and delivering innovative technology products that prioritize security, stability, and scalability. Your position as a key technical contributor involves executing essential technology solutions across various technical domains within diverse business functions, all designed to support the firm's strategic goals.

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 problemsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads 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 architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on Databricks concepts and proficient advanced experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s), Python is required 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 oversightExperience performing data analytics on AWS platformsExperience in writing efficient SQL's, implementing complex ETL transformations on big data platform.Experience in a Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.)Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issuesExperience with Databricks, Snowflake, Iceberg  are required Preferred qualifications, capabilities, and skillsExperience in application and data design disciplines with an emphasis on real-time processing and delivery e.g. Kafka is preferableUnderstanding of the Commercial & Investment Bank business will be useful.Proficiency across the full range of database and business intelligence tools; publishing and presenting information in an engaging way is a plusFinancial Services and Commercial and Investment Banking experience is a plusFamiliarity with NoSQL database platforms(DynamoDB, Cassandra) is a plusFamiliarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc.