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 Asset and Wealth Management 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
- Experiment, Architect, develop and implement efficient Data pipelines, Data services and Data platforms contributing to the Business.
- Design and implement highly scalable, efficient and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.
- Develops secure high-quality production code, and reviews and debugs code written by others.
- Conducting hands on POCs to prove concepts/products
- Migration to internal and external clouds
- Migration to Microservices architectures and patterns
- Evaluating open source and vendor products
- Leading group of developers/scrum team
- Design distributed applications.
- 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
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Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Solid programming skills with Java, Python or other equivalent languages.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Experience across the data lifecycle, building Data frameworks, working with Data lakes.
- Experience with Batch and Real time Data processing with Spark or Flink
- Working knowledge of AWS Glue and EMR usage for Data processing
- Experience working with Databricks
- Experience working with Python/Java, PySpark etc.
- Working experience with both relational and NoSQL databases
- Proficiency in automation and continuous delivery methods
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Good understanding of machine learning algorithms, including time series algorithms, deep learning, reinforcement learning, and classical ML techniques will be a plus.