Sr. Product Engineer - Cloud Automation

EsriRedlands, California

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Overview

Schedule

Full-time

Education

Bachelor's/Undergraduate Degree

Career level

Senior-level

Job Description

Overview

ArcGIS Enterprise is the backbone of Esri’s customers’ mission-critical operations, powering organizations around the world in the cloud and on-premises. To simplify deployment and management, Esri develops advanced automation tools that streamline installation and configuration of ArcGIS Enterprise in Kubernetes environments and across leading cloud platforms such as AWS and Microsoft Azure. The ArcGIS Enterprise team is seeking a Sr. Cloud Automation Engineer to partner closely with software developers and product engineers to ensure our automation technology is high-quality, reliable, and user focused. This role requires technical depth, strong problem-solving and interpersonal skills, and a keen ability to stay ahead of fast-evolving cloud technologies while delivering practical, user-centered solutions.

Responsibilities

Evaluate and improve the quality, scalability, and performance of Esri’s cloud and Kubernetes automation technology
Collaborate with cross-functional teams to ensure automation aligns with customer needs, usability standards, and deployment best practices
Gather, analyze, and prioritize user requirements, turning them into actionable development and testing plans
Design and refine user experiences for automation tools, emphasizing clarity, simplicity, and maintainability
Document and communicate the proper use of Esri’s cloud automation technology through clear documentation, demos, presentations, and blogs
Stay current on emerging cloud and containerization trends to identify opportunities for innovation and improvement

Requirements

5+ years of experience designing, deploying, or automating solutions in AWS and/or Azure, with deep understanding of core cloud services such as compute, networking, storage, identity, and monitoring
Proven experience with infrastructure automation, including architecting and maintaining automated deployments for cloud-native and containerized applications
Strong communication and collaboration skills with the ability to work effectively across engineering, product, and support teams
Demonstrated ability to troubleshoot distributed systems, APIs, and deployment pipelines
Proficiency in scripting or configuration management tools such as PowerShell, Bash, or Python
Bachelor’s degree in computer science, software engineering, information systems, or a related technical field

Recommended Qualifications

Master’s degree in computer science, software engineering, information systems, or a related technical field
Experience with Infrastructure as Code (IaC) and configuration management tools such as CloudFormation, Terraform, Chef, PowerShell DSC, or Helm
Familiarity with CI/CD pipelines and DevOps practices for automated testing and deployment
Working knowledge of Python for automation and tooling
Understanding of ArcGIS Enterprise and geospatial data workflows

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FAQs About Sr. Product Engineer - Cloud Automation Jobs at Esri

What is the work location for this position at Esri?

This job at Esri is located in Redlands, California, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.

What pay range can candidates expect for this role at Esri?

Employer has not shared pay details for this role.

What employment applies to this position at Esri?

Esri lists this role as a Full-time position.

What experience level is required for this role at Esri?

Esri is looking for a candidate with "Senior-level" experience level.

What education level is required for this job?

The education requirement for this position is Bachelor's/Undergraduate Degree. Candidates with relevant qualifications or equivalent experience may also be considered.

What is the process to apply for this position at Esri?

You can apply for this role at Esri either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.