Site Reliability Engineer - Real-Time and Big Data

About the Job:
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. Additionally, you will 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 promoting professional development. We care about your career growth and strive to assign projects that will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. We also put a high value on work-life balance, understanding that a healthy balance between personal and professional life is crucial to happiness and success. Therefore, we offer a flexible hybrid schedule to enhance productivity and well-being.

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 of containerized micro-service components that 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 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, testing, and infrastructure deployment.
• Ability to write scripts to deploy infrastructure and/or applications (Bash, Python, 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.
• Proficient 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.

Recommended Qualifications:

• Experience designing, administering, and/or maintaining cloud environments, such as AWS or Azure, supporting 24/7 high-availability production environments.
• Interest in working with GitOps principles to automate the deployment of applications on Kubernetes clusters.
• Certifications: AWS Certified Solution Architect Associate, CKA/CKAD, or similar.
• Experience managing OpenSearch (datastore or logstore), and Kafka for managing distributed data streams and ensuring high availability in large-scale systems.
• Ability to work with continuous integration and delivery best practices.
• Knowledge of operating resilient, highly available, scalable, and performance SaaS capabilities.
• Knowledge of Esri ArcGIS or other web mapping technologies.
• Working knowledge of GitHub.

Language Requirements: Not specified.

Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.