The Software Engineer II role involves designing and delivering technology solutions, optimizing data systems, and implementing performance tests while contributing to application frameworks and supporting DevOps processes.
Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer II at JPMorgan Chase within the Consumer Banking-Trust & Security, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer II at JPMorgan Chase within the Consumer Banking-Trust & Security, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Work with Architect, Machine Learning engineers and Data engineers to identify technical and functional needs of data systems
- Ensure adherence to defined development life cycle, Software design practices, and Architecture strategy and intent
- Contribute to application frameworks in support of greater resiliency and self-healing capabilities
- Contribute to monitoring frameworks to accomplish end to end flow monitoring and noiseless alerting with proper telemetry
- Implement performance tests, identify bottlenecks, opportunities for optimization and continuous improvements
- Participate in deep design reviews with application and platform teams throughout the life cycle to help develop software for reliability, speed and scale
- Design and Develop distributed computation and parallel processing components to support high volume data pipelines
- Support DevOps and CI/CD processes
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Advanced knowledge of application, data and infrastructure architecture disciplines
- Experience in a Big Data technologies (Impala, Hive, Redshift, Kafka, etc.)
- Experience in Spark processing large amount of data
- Experience in Java/Python/SQL Development
- Expertise in AWS stack designing, coding, testing, and delivering solution that supports high data volume
- Experience with Spring Boot building Microservice and/or Web Apps
- Advanced knowledge of one or more infrastructure components (e.g. containerization - docker, k8s)
- Experience in end-to-end systems automation and orchestration
- Experience with DevOps toolchains
- Strong debugging and troubleshooting skills
Preferred qualifications, capabilities, and skills
- Good understanding of SDLC and ITIL practices.
- Knowledge of industry-wide technology trends and best practices.
Top Skills
AWS
DevOps
Docker
Hive
Impala
Java
Kafka
Kubernetes
Python
Redshift
Spark
Spring Boot
SQL
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