DescriptionWe 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.
