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Site Reliability Engineer II - Real-Time and Big Data

Esri
Dubai, United Arab Emirates
Full Time
Posted October 28, 2025
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Job Description

This role involves managing and operating SaaS GIS solutions on cloud platforms, including deploying, monitoring, troubleshooting, and automating infrastructure and applications, with a focus on containerized microservices and cloud automation to support Esri's real-time and big data GIS capabilities.

Key Responsibilities

  • Operate SaaS capabilities across multiple regions on the cloud platform in collaboration with SRE engineers
  • Design, implement, configure, and utilize monitoring systems to ensure SaaS product health
  • Manage infrastructure for ArcGIS Velocity and ArcGIS Workflow Manager, respond to alerts, and troubleshoot issues
  • Develop, implement, and maintain automation solutions for deployment, incident resolution, and scaling
  • Design and deploy containerized micro-service components for SaaS offerings
  • Automate Git workflows for code integration, testing, and infrastructure deployment
  • Troubleshoot system incidents and perform root cause analysis
  • Provide rotational on-call technical support

Requirements

  • Minimum of 5 years of experience managing Kubernetes EKS, logging and monitoring with ELK, Prometheus, and container technologies such as Docker.
  • Proficiency in using Terraform for automating infrastructure provisioning and management.
  • Ability to design and automate Git workflows for streamlined code integration, testing, and infrastructure deployment.
  • Ability to write scripts to deploy infrastructure and applications using Bash, Python, or Terraform.
  • Expert level understanding and experience with cloud computing platforms AWS or Microsoft Azure.
  • Strong knowledge of Linux Operating system administration, including troubleshooting, performance tuning, and shell scripting.
  • Proficiency in cloud networking, including VPCs, subnets, security groups, and VPNs in platforms like AWS or Azure.
  • Skilled in identifying and resolving system and application issues through effective troubleshooting and root cause analysis.
  • Working knowledge of a source control and issue management system.
  • Bachelor’s degree in computer science, computer engineering, GIS, or information systems.
  • Ability to develop, implement, and maintain automation solutions for operational tasks such as deployment pipelines, incident resolution, and scaling processes.
  • Experience designing, deploying, and operating containerized micro-service components for SaaS offerings.
  • Experience managing and troubleshooting SaaS infrastructure and responding to alerts.
  • Ability to develop and utilize monitoring systems to monitor the health of SaaS products.
  • Experience in managing cloud-based SaaS capabilities and supporting high-availability production environments.
  • Ability to troubleshoot system incidents and provide root cause analysis reports.

Benefits & Perks

Flexible hybrid work schedule
Work-life balance emphasis
Professional development opportunities
Supportive environment promoting career growth

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