Description:
Our teams have a broad mix of experience levels and tenures that support an environment that promotes professional development. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Our team also puts a high value on work-life balance, and we understand that striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We offer a flexible hybrid schedule so you can have a more productive and well-balanced life both in and outside of work.
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 containerized micro-service components that, when combined, 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 the 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 in computer science, computer engineering, GIS, or information systems