Join us to work collaboratively with our talented team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference.
Key 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, 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/or applications (Bash, Python, Terraform)
High level of understanding and experience with cloud computing platforms (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
5+ years of experience designing, administering, and/or maintaining cloud environments, such as AWS, supporting 24×7 high-availability production environments
Interest in working with GitOps principles to automate the deployment of applications on Kubernetes clusters
Certifications: AWS Certified Solution Architect Associate, CKA/CKAD or similar
Experience managing OpenSearch (datastore or logstore), and Kafka for managing distributed data streams and ensuring high availability in large-scale systems
Ability to work with continuous integration and delivery best practices
Knowledge of operating resilient, highly available, scalable, and performance SaaS capabilities
Knowledge of Esri ArcGIS or other web mapping technologies
Master’s degree in computer science, computer engineering, GIS, or information systems
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Benefits & Perks
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.