DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Data and Analytics - Core Data Engineering services team youare 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 firms business objectives.
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
- Develops secure high-quality production code and reviews and debugs code written by others
- Designs implements and maintains continuous integration and continuous deployment (CI/CD) pipelines using tools like Jenkins GitLab or Terraform.
- Automates infrastructure provisioning and management using container orchestration tools such as ECS Kubernetes and Docker.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Monitors system performance and implement optimizations to improve efficiency and scalability.
- Leads evaluation sessions with external vendors startups and internal teams to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience
- Hands-on practical experience delivering system design application development testing and operational stability
- Advanced in one or more programming language(s) : Python Java/Spring Boot
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Experience with monitoring and logging tools such as Grafana Dynatrace Datadog and Splunk.
- Proficiency in CI/CD tools like Jenkins GitLab or Terraform.
- Experience with container orchestration tools such as ECS Kubernetes and Docker.
- Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)
- Practical cloud native experience
Preferred qualifications capabilities and skills
- Knowledge of ML Ops practices and tools is preferred.
- Knowledge of Databricks APIs and services are preferred
DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.As a Lead Software Engineer at JPMorgan Chase within the Corporate Data and Analytics - Core Data Engineering services team youare an integral part of an agile team that w...
DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Data and Analytics - Core Data Engineering services team youare 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 firms business objectives.
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
- Develops secure high-quality production code and reviews and debugs code written by others
- Designs implements and maintains continuous integration and continuous deployment (CI/CD) pipelines using tools like Jenkins GitLab or Terraform.
- Automates infrastructure provisioning and management using container orchestration tools such as ECS Kubernetes and Docker.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Monitors system performance and implement optimizations to improve efficiency and scalability.
- Leads evaluation sessions with external vendors startups and internal teams to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience
- Hands-on practical experience delivering system design application development testing and operational stability
- Advanced in one or more programming language(s) : Python Java/Spring Boot
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Experience with monitoring and logging tools such as Grafana Dynatrace Datadog and Splunk.
- Proficiency in CI/CD tools like Jenkins GitLab or Terraform.
- Experience with container orchestration tools such as ECS Kubernetes and Docker.
- Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)
- Practical cloud native experience
Preferred qualifications capabilities and skills
- Knowledge of ML Ops practices and tools is preferred.
- Knowledge of Databricks APIs and services are preferred
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