Role: AI Engineer
Location: Phoenix, AZ
• Strong hands-on Python experience building reliable, maintainable production applications, REST APIs, automation scripts, and data-processing workflows, with proficiency in object-oriented programming, exception handling, unit testing, and performance optimization.
• Hands-on experience with at least one major cloud platform—AWS, Azure, or Google Cloud—and with Docker and Kubernetes, including deploying, troubleshooting, and securing applications and AI/ML workloads.
• Experience designing and operating containerized platform services on Linux, including Kubernetes deployments, configuration management, and troubleshooting across environments, with strong skills in Bash scripting, command-line tools, process and service management, networking, and log analysis.
• Experience building and maintaining secure APIs and identity-related services, including authentication, authorization, secrets management, and service-to-service integrations.
• Strong experience with Git, CI/CD tools such as GitHub Actions, and infrastructure automation using Terraform or Ansible, including automated builds, testing, security scanning, controlled deployments, and rollback procedures.
• Hands-on experience with monitoring, logging, and observability tools such as Splunk, Elasticsearch, Kibana, Prometheus, and Grafana to query logs, collect metrics, build dashboards, configure alerts, and monitor application and platform health.
Thanks & Regards...
Bhavana
IT Technical Recruiter
Galaxy i Technologies Inc.
EMail:
Ph No: Ext:202
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10374872
- Position Id: 37244-43206-1793380559
- Posted 14 hours ago
