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JPMorganChase

Software Engineer III - AWS, Kubernetes, Dynatrace, Grafana

Posted Yesterday
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Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Mid level
Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Mid level
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.
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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
  • 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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