Job Description
This role involves managing and operating SaaS GIS solutions on the cloud, including deployment, automation, monitoring, and troubleshooting of ArcGIS Velocity and Workflow Manager, while collaborating with engineering teams to ensure high availability and performance of cloud-based GIS services.
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 implement deployment and upgrade processes for containerized micro-service components
- 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
- Minimum of 5 years of experience managing Kubernetes EKS, logging and monitoring with ELK, Prometheus, and container technologies such as Docker and 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 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.
- 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.
Benefits & Perks
Compensation/salary range: $82,160 - $138,320 USD
Work schedule: Flexible hybrid schedule
Work environment perks: Supportive environment promoting professional development and work-life balance
Additional benefits: Industry-leading health and welfare benefits (medical, dental, vision, basic and supplemental life insurance), 401(k) and profit-sharing programs, minimum of 80 hours of vacation leave, twelve paid holidays, opportunities for personal and professional growth
Ready to Apply?
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