Job Description
This role involves managing and operating SaaS GIS solutions such as ArcGIS Velocity and Workflow Manager on cloud platforms, focusing on automation, deployment, monitoring, and troubleshooting to ensure high availability and performance for global users.
Key Responsibilities
- Operate SaaS capabilities across multiple regions on cloud platforms.
- Design, implement, configure, and utilize monitoring systems for SaaS products.
- Manage infrastructure for ArcGIS Velocity and ArcGIS Workflow Manager, troubleshoot issues.
- Develop and maintain automation solutions for deployment, incident resolution, and scaling.
- Design and implement deployment and upgrade processes for containerized microservices.
- Create and automate Git workflows for code integration, testing, and deployment.
- Troubleshoot system incidents and perform root cause analysis.
- Participate in technical spike efforts to innovate and improve software capabilities.
Requirements
- Minimum of 5 years of experience managing Kubernetes EKS, logging and monitoring with ELK, Prometheus, and container technologies such as Docker and ECS.
- 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.
- Experience in writing scripts to deploy infrastructure and applications using Bash, Python, and Terraform.
- High level of understanding and experience with cloud computing platforms, specifically AWS.
- 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.
- 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.
- Experience in authoring, deploying, and troubleshooting Java applications on AWS Lambda.
- 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 in managing infrastructure used for SaaS products, including responding to alerts and troubleshooting problems to resolution.
Benefits & Perks
Industry-leading health and welfare benefits including medical, dental, and vision insurance
Basic and supplemental life insurance for employees and their families
401(k) and profit-sharing programs
Minimum of 80 hours of vacation leave
Twelve paid holidays throughout the calendar year
Opportunities for personal and professional growth
Ready to Apply?
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