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 our Consumer & Community Banking technology 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. 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 Perform Code Review and lead a team on junior team member.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience Experience in Data Engineering disciplines such as data movement, data pipelines, data transformation, data storage and retrieval. Experience with programming languages such as Java and/or Scala or Python. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Expertise in one or more big data processing frameworks such as Spark, Flink, Storm etc. as well as experience with stream processing using Kafka is mandatory. Experience with Cloud services and cloud native data technologies such as AWS EMR, Glue, Lambda, MSK. Preferred qualifications, capabilities, and skills Familiarity with modern big data concepts and ETL platform. Exposure to cloud technologies AWS, Kubernetes. Experience with Semantic technologies, modeling and related concepts such as controlled vocabularies, ontologies as well as taxonomies.