Middleware Engineer
On-siteMidvale, Utah, United States
Job Summary
Design, develop, and maintain data and integration services using Python, PySpark, Kafka, Docker, and Kubernetes. Build and support integration solutions while developing automated testing solutions to ensure reliability. Contribute to cloud enablement and continuous delivery initiatives, and explore applications of artificial intelligence to improve processes. Collaborate with cross-functional teams to define requirements, design solutions, and deliver technical capabilities within a SAFe Agile environment. Troubleshoot application issues, perform root cause analysis, and provide ongoing production support with periodic on-call responsibilities. Stay current with emerging technologies and integration patterns.
Required Qualifications
- Experience developing software applications, data services, or integration solutions
- Strong programming experience with Python or similar programming languages
- Experience working with data processing technologies such as PySpark
- Experience developing or supporting APIs and integration services
- Experience with messaging and event-driven technologies such as Kafka
- Experience working with containers and container orchestration technologies, including Docker and Kubernetes
- Understanding of cloud computing and cloud-enabled application development
- Experience with automated software testing and continuous delivery practices
- Strong troubleshooting and root cause analysis skills
- Ability to work effectively in a cross-functional Agile development environment
- Strong communication, collaboration, and problem-solving skills
- Ability to participate in production support and on-call responsibilities
Desired Qualifications
- Experience with Apigee Hybrid
- Experience implementing Infrastructure as Code or DevOps automation
- Experience working with AI/ML technologies or AI-assisted development tools
- Experience designing event-driven or microservices architectures
- Experience with cloud platforms such as AWS, Azure, or GCP
- Experience working within a SAFe Agile environment
- Experience modernizing legacy data or integration platforms
- Experience implementing CI/CD pipelines and automated deployment processes
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