DescriptionWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Lead Software Engineer at JPMorgan Chase within the Asset & Wealth Management 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 firms business objectives. You are responsible for designing and implementing complex Big Data projects with a focus on collecting parsing managing analyzing and visualizing large datasets.
Job Responsibilities:
- Executes software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Design build and maintain efficient reusable and reliable Scala code
- Ensure the best possible performance quality and responsiveness of the application
- Design and implementation of low-latency high-availability and performant applications
- Design develop test and implement Big Data solutions using Apache Spark
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers analyzes synthesizes and develops visualizations and reporting from large diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging 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 applied experience
- Hands-on programming/application development experience JAVA 8 Spring Boot REST/API. Proficiency in: SQL/Hibernate Messaging (MQ & Kafka) application performance testing and tuning Agile
- Experience in Spark Scala Python writing reusable testable and efficient code
- Experience in working with one search engine Elastic search OpenSearch.
- Experience in building applications with microservices patterns and being cloud native.
- Good knowledge of AWS offerings (S3 EC2 RDS Terraform etc).
- Good knowledge of Docker Kubernetes.
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD Application Resiliency and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)
Preferred Qualifications Capabilities and Skills:
- Knowledge of API protocols and development methodologies.
- Familiarity with Banking core modules.
- Strong knowledge in automated build and testing tools like Jenkins JMeter Cucumber Cypress.
- Experience in engineering solutions for metrics gathering/publishing and event collection/correlation across distributed architectures automation monitoring intelligent alerting random fault injection (Chaos Engineering) and self-healing.
Required Experience:
IC
DescriptionWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.As a Lead Software Engineer at JPMorgan Chase within the Asset & Wealth Management you serve as a seasoned member of an agile team to design and deliver trusted market-leading ...
DescriptionWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Lead Software Engineer at JPMorgan Chase within the Asset & Wealth Management 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 firms business objectives. You are responsible for designing and implementing complex Big Data projects with a focus on collecting parsing managing analyzing and visualizing large datasets.
Job Responsibilities:
- Executes software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Design build and maintain efficient reusable and reliable Scala code
- Ensure the best possible performance quality and responsiveness of the application
- Design and implementation of low-latency high-availability and performant applications
- Design develop test and implement Big Data solutions using Apache Spark
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers analyzes synthesizes and develops visualizations and reporting from large diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging 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 applied experience
- Hands-on programming/application development experience JAVA 8 Spring Boot REST/API. Proficiency in: SQL/Hibernate Messaging (MQ & Kafka) application performance testing and tuning Agile
- Experience in Spark Scala Python writing reusable testable and efficient code
- Experience in working with one search engine Elastic search OpenSearch.
- Experience in building applications with microservices patterns and being cloud native.
- Good knowledge of AWS offerings (S3 EC2 RDS Terraform etc).
- Good knowledge of Docker Kubernetes.
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD Application Resiliency and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)
Preferred Qualifications Capabilities and Skills:
- Knowledge of API protocols and development methodologies.
- Familiarity with Banking core modules.
- Strong knowledge in automated build and testing tools like Jenkins JMeter Cucumber Cypress.
- Experience in engineering solutions for metrics gathering/publishing and event collection/correlation across distributed architectures automation monitoring intelligent alerting random fault injection (Chaos Engineering) and self-healing.
Required Experience:
IC
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