Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Senior Lead Software Engineer at JPMorgan Chase within the Data Platform Engineering - Corporate Technology organization, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
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
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Adds to the team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands - on practical experience working in big data environment, working with structured, semi-structured and unstructured data.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced understanding of one or more object-oriented programming language(s) with expertise in languages such as Scala, Java, Python etc.
- Proficient in building applications for real-time streaming using Apache Spark Streaming, Apache Kafka, Amazon Kinesis etc. for large-scale data processing and open-source frameworks/libraries such as Apache Airflow etc.
- Proficient in application, data, and infrastructure architecture disciplines.
- Proficient in cloud-native architecture, design and implementation across all systems.
- Proficient in Event Driven Architecture and Application Containerization.
- Proficient in building applications on Public Cloud (AWS, GCP, Azure) development with AWS
- Proficient in building on emerging cloud server less managed services, to minimize/eliminate physical/virtual server footprint.
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
Preferred qualifications, capabilities, and skills
- Proficient in designing and developing data pipelines using Databricks Lakehouse to ingest, enrich, and validate data from multiple sources.
- Proficient in re-engineering and migrating on-premises data solutions to and for the public cloud.
- Proficient in implementing security solutions for data storage and processing in the public cloud.
- Proficient understanding of traditional big data systems, such as Hadoop, Impala, Sqoop, Oozie, Cassandra, Hive, HBase etc.
