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Site Reliability Engineer II - Real-Time and Big Data

Esri Dubai, United Arab Emirates Posted: 23 Nov 2024

Financial

  • Estimate: $70k - $100k*
  • Zero income tax location

Accessibility

  • Hybrid
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Junior
  • English: Professional

Position

Join a collaborative team of dynamic and passionate engineers at Esri to deliver capabilities that enable customers to make a difference. As a Site Reliability Engineer II, you will deploy and operate ArcGIS Velocity and ArcGIS Workflow Manager SaaS solutions. You will have the opportunity to design, deploy, and operate next-generation real-time and big data GIS SaaS capabilities for thousands of cloud users worldwide.

Esri values an environment that fosters professional development and promotes a healthy work-life balance. A flexible hybrid schedule is offered to help you maintain productivity both in and outside of work.

Responsibilities:

  • Collaborate with a team of SRE 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 for ArcGIS Velocity and ArcGIS Workflow Manager, respond to alerts, and troubleshoot issues to resolution.
  • Develop, implement, and maintain automation solutions for tasks such as deployment pipelines, incident resolution, and scaling processes.
  • Design and implement the deployment and upgrade of containerized micro-service components that support Esri’s SaaS offerings.
  • Create and automate Git workflows to simplify code integration, testing, and infrastructure deployments.
  • Participate in technical spike efforts, bringing innovative ideas for future software versions.
  • Troubleshoot system incidents and provide root cause analysis reports.
  • Provide rotational on-call technical support.

Requirements:

  • 5+ years of experience managing Kubernetes (EKS), logging and monitoring (ELK, Prometheus), and container technologies (Docker).
  • Proficient in using Terraform for automating infrastructure provisioning and management.
  • Ability to design and automate Git workflows for streamlined code integration and testing.
  • Proficient in writing scripts for deploying infrastructure/applications (Bash, Python, Terraform).
  • Expert 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.
  • Proficient in cloud networking, including VPCs, subnets, security groups, and VPNs in AWS or Azure.
  • Skilled in identifying and resolving system and application issues through effective troubleshooting and root cause analysis.
  • Bachelor's degree in computer science, computer engineering, GIS, or information systems.

Recommended Qualifications:

  • Experience designing and maintaining cloud environments (AWS or Azure) supporting 24/7 high-availability production environments.
  • Interest in GitOps principles for automating application deployment on Kubernetes clusters.
  • Relevant certifications (e.g., AWS Certified Solution Architect Associate, CKA/CKAD).
  • Experience with OpenSearch and Kafka for managing distributed data streams.
  • Knowledge of continuous integration and delivery best practices.
  • Familiarity with operating resilient, highly available, scalable SaaS capabilities.
  • Understanding of Esri ArcGIS or similar web mapping technologies.

Language Requirements:
English proficiency is expected.

Esri is committed to diversity, equity, and inclusion in the workplace, and we encourage applications from individuals of all backgrounds. If you require reasonable accommodation during the employment process, please reach out accordingly.

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About Esri

Esri is the global market leader in geographic information system (GIS) software, location intelligence, and mapping. Since 1969, we have supported customers with geographic science and geospatial analytics, what we call The Science of Where. We take a geographic approach to problem-solving, brought to life by modern GIS technology.