Overview Join us to work collaboratively with our talented team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference. You'll deploy and operate ArcGIS Velocity and ArcGIS Workflow Manager SaaS solutions. You will also have the opportunity to design, deploy, and operate next-generation real-time and big data GIS software-as-a-service (SaaS) capabilities for thousands of cloud users worldwide.

Our teams have a broad mix of experience levels and tenures that support an environment which promotes professional development. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Our team also puts a high value on work-life balance, and we understand that striking a healthy balance between your personal and professional life is crucial to your happiness and success here.

We offer a flexible hybrid schedule so you can have a more productive and well-balanced life both in and outside of work. The Professional Services division is the consulting and implementation arm of Esri. We break ground in new markets, push the technology envelope and ultimately deliver transformational solutions to high profile clients worldwide.

The Professional Services organization is comprised of nearly 1,000 talented business and technical professionals who strive every day to help our users be successful.

Requirements

in industry, government, and other user communities.

5+ years of experience managing Kubernetes (EKS), logging and monitoring (ELK, Prometheus), and container technologies (Docker, ECS) Proficient 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/or applications (Bash, Python, Terraform) High level of understanding and experience with cloud computing platforms (AWS) 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 platforms like AWS 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, preferably GitHub Working knowledge of authoring, deploying, and troubleshooting Java applications on AWS Lambda Bachelor’s degree in computer science, computer engineering, GIS, or information systems Recommended

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

Qualifications

5+ years of experience designing, administering, and/or maintaining cloud environments, such as AWS, supporting 24×7 high-availability production envi

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