Job Description
The role involves managing and operating SaaS GIS solutions on cloud platforms, primarily AWS, including deploying, monitoring, and troubleshooting microservices and containerized applications, while collaborating with engineering teams to ensure high availability and automation of operational tasks.
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 2 years of experience managing Kubernetes EKS, logging and monitoring tools such as ELK and Prometheus, and container technologies including 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.
- Bachelor’s degree in computer science, computer engineering, GIS, or information systems.
- Participation in technical spike efforts, bringing new innovative ideas to future versions of software.
- Responding to system alerts, troubleshooting problems to resolution, and managing infrastructure used for ArcGIS Velocity and ArcGIS Workflow Manager.
- Design, implement, configure, and utilize monitoring systems to monitor the health of SaaS products.
- Develop, implement, and maintain automation solutions for repetitive operational tasks, such as deployment pipelines, incident resolution, and scaling processes.
- Create and automate Git workflows to simplify code integration, testing, and infrastructure deployments.
- Troubleshoot system incidents and provide root cause analysis reports.
- Participate in rotational on-call technical support.
- Interest in working with GitOps principles to automate application deployment on Kubernetes clusters.
- Knowledge of operating resilient, highly available, scalable, and high-performance SaaS capabilities.
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 year
Opportunities for personal and professional growth
Ready to Apply?
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