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 Corporate Technology's Chief Administrative Office 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
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years of applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Experience with ETL tools (design and development) including Informatica, Star Schema data models, AWS Glue, and Databricks
- Advanced in one or more programming language(s) such as PL / SQL, Python, and Java
- Expert knowledge in AWS Lake Formation, AWS Glue, AWS Athena, EMR, AWS ECS, AWS EKS, AWS Fargate, Kubernetes, AWS S3, AWS EC2
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle including 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 (., cloud, artificial intelligence, machine learning, mobile,
- Knowledge of the financial services industry and their IT systems
- Experience in large scale data integration and data warehouse solutions and data modeling
- Experience with Oracle 11g or Higher database including partitioning and NoSQL databases
Preferred qualifications, capabilities, and skills
- Strong experience with Databricks, Datalakes, data products, Big data technologies and handling Metadata
- Exposure to reporting tools such as Cognos, Qlik Sense, QlikView,
- BS / BA in related discipline strongly preferred (., IT, MIS, Computer Science, Technology, .
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