As a Software Engineer III, you'll design and deliver technology products, troubleshoot issues, automate tasks, and lead performance testing, contributing to critical tech solutions at JP Morgan Chase.
Job Description
Job 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 firm's business objectives and team culture.
Job responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
Job 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 firm's 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
Top Skills
AWS
Cloudwatch
Databricks
Dynatrace
Grafana
Java
Jenkins
Kubernetes
NoSQL
Python
Spinnaker
Spring Boot
Spring Framework
SQL
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