DescriptionJob summary
As a Software Engineer III at JP Morgan Chase within the Corporate Technology you will design and deliver trusted technology products in a secure stable and scalable way. You will contribute to critical technology solutions across multiple technical areas supporting the firms business objectives and team culture.
Job responsibilities
- Execute software solutions design development and technical troubleshooting to build solutions or break down technical problems
- Develop test and debug automated tasks for applications systems and infrastructure
- Troubleshoot priority incidents facilitate post-mortems and fix production defects
- Work with development teams throughout the software life cycle to ensure sustainable software releases
- Perform analytics on incidents and usage patterns to predict issues and take proactive actions
- Build and drive adoption of self-healing and resiliency patterns
- Lead and participate in performance tests to identify bottlenecks and opportunities for optimization
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 3 years applied experience
- Strong development skills in Java or Python
- Experience with the Spring framework including Spring Boot and microservice architecture
- Experience with data storage solutions such as SQL NoSQL databases data lakes Databricks and S3
- Experience managing applications in AWS and Kubernetes environments
- Familiarity with logging and monitoring tools such as Kibana Splunk Elastic Search Dynatrace Grafana CloudWatch and Datadog
- Experience with CI/CD processes using tools like Jenkins and Spinnaker
Preferred qualifications capabilities and skills
- Ability to deploy scale and manage machine learning models in production environments
- Strong analytical and troubleshooting skills for diagnosing and resolving issues in ML pipelines and production systems
- Excellent communication skills for collaborating with data scientists engineers and stakeholders
- Relevant certifications in cloud platforms such as AWS DevOps Kubernetes or Databricks
Required Experience:
IC
DescriptionJob summaryAs a Software Engineer III at JP Morgan Chase within the Corporate Technology you will design and deliver trusted technology products in a secure stable and scalable way. You will contribute to critical technology solutions across multiple technical areas supporting the firms b...
DescriptionJob summary
As a Software Engineer III at JP Morgan Chase within the Corporate Technology you will design and deliver trusted technology products in a secure stable and scalable way. You will contribute to critical technology solutions across multiple technical areas supporting the firms business objectives and team culture.
Job responsibilities
- Execute software solutions design development and technical troubleshooting to build solutions or break down technical problems
- Develop test and debug automated tasks for applications systems and infrastructure
- Troubleshoot priority incidents facilitate post-mortems and fix production defects
- Work with development teams throughout the software life cycle to ensure sustainable software releases
- Perform analytics on incidents and usage patterns to predict issues and take proactive actions
- Build and drive adoption of self-healing and resiliency patterns
- Lead and participate in performance tests to identify bottlenecks and opportunities for optimization
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 3 years applied experience
- Strong development skills in Java or Python
- Experience with the Spring framework including Spring Boot and microservice architecture
- Experience with data storage solutions such as SQL NoSQL databases data lakes Databricks and S3
- Experience managing applications in AWS and Kubernetes environments
- Familiarity with logging and monitoring tools such as Kibana Splunk Elastic Search Dynatrace Grafana CloudWatch and Datadog
- Experience with CI/CD processes using tools like Jenkins and Spinnaker
Preferred qualifications capabilities and skills
- Ability to deploy scale and manage machine learning models in production environments
- Strong analytical and troubleshooting skills for diagnosing and resolving issues in ML pipelines and production systems
- Excellent communication skills for collaborating with data scientists engineers and stakeholders
- Relevant certifications in cloud platforms such as AWS DevOps Kubernetes or Databricks
Required Experience:
IC
View more
View less