Job Description
This role involves managing and operating SaaS GIS solutions like ArcGIS Velocity and Workflow Manager on cloud platforms, designing automation and deployment processes, troubleshooting system issues, and collaborating with engineering teams to deliver scalable, high-availability GIS services for global users.
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
- Create and 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
- A 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.
- Ability to write 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.
- Working knowledge of authoring, deploying, and troubleshooting Java applications on AWS Lambda.
- A 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 ArcGIS Velocity and ArcGIS Workflow Manager, responding to alerts, and troubleshooting problems to resolution.
- Experience in designing, deploying, and operating containerized micro-service components that power SaaS offerings.
- Experience in creating and automating Git workflows for code and infrastructure deployment.
- Experience in troubleshooting system incidents and providing root cause analysis reports.
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
Flexible hybrid work schedule promoting work-life balance
Opportunities for personal and professional growth
Ready to Apply?
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