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Cloud Reliability Engineer II

2 months ago

Baladīyat al Ghuwayrīyah, Qatar Talent Pal Full time
About the Role

Talent Pal is seeking a highly skilled Cloud Reliability Engineer II to join our team. As a key member of our cloud infrastructure team, you will be responsible for designing, deploying, and operating next-generation real-time and big data GIS software-as-a-service (SaaS) capabilities for thousands of cloud users worldwide.

Key Responsibilities
  • Collaborate with a team of DevOps engineers to operate SaaS capabilities across multiple regions on the cloud platform.
  • Design, implement, configure, and utilize monitoring systems to monitor the health of SaaS products.
  • Manage infrastructure used for ArcGIS Velocity, respond to alerts, and troubleshoot problems to resolution.
  • Design and implement the deployment and upgrade of containerized microservice components that, when combined, power Esri's SaaS offerings.
  • Participate in technical spike efforts, bringing new innovative ideas to future versions of our software.
  • Troubleshoot system incidents and provide root cause analysis reports.
  • Provide rotational on-call technical support.
Requirements
  • 5 years of experience managing Kubernetes (AKS, EKS), logging, and monitoring (ELK, Prometheus), and container technologies (Docker).
  • Comfortable with YAML syntax (writing Azure DevOps pipelines and Kubernetes resources).
  • Ability to write scripts to deploy infrastructure and/or applications (Bash, Python, Golang).
  • Expert-level understanding and experience with cloud computing platforms (Microsoft Azure or Amazon EC2).
  • Ability to work with continuous integration and delivery best practices.
  • Working knowledge of a source control and issue management system, preferably Git Hub.
  • Bachelor's in computer science, computer engineering, GIS, or information systems.
Recommended Qualifications
  • Masters in computer science, computer engineering, GIS, or information systems.
  • 5 years of experience designing, administering, and/or maintaining cloud environments, such as Azure, supporting 24/7 high-availability production environments.
  • Interest in working with GitOps principles to automate the deployment of applications on Kubernetes clusters.
  • Knowledge of operating resilient, highly available, scalable, and performance SaaS capabilities.
  • Experience operating and managing Apache Kafka with high-velocity data.
  • Knowledge of cloud-native storage solutions.
  • Familiarity in deploying and operating reactive applications using Scala, the Play framework, and Akka.
  • Knowledge of Esri ArcGIS or other web mapping technologies.