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JPMorgan Chase Bank
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Software Engineer II

Software Engineer II

JPMorgan Chase Bank

6 - 8 years

20 - 25 Lacs

Hyderabad

Posted:18 hours ago| Platform:

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Skills Required

Automation Software design Coding Debugging Machine learning Agile Troubleshooting SDLC Monitoring Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.

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.

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Software Engineer II