Senior DevOps Engineer

Summary

Join Esri's ArcGIS Online (AWS) team as a DevOps Engineer and contribute to the development and operation of robust cloud-based mapping analytics for SaaS. You will collaborate with SREs and DevOps engineers to operate SaaS capabilities across multi-cloud providers, improve workflows for building, testing, and deploying applications, and maintain CI/CD pipelines. This role involves configuring and deploying containerized micro-service components, designing and implementing operational components, employing automation and monitoring, and developing data pipelines for operational insights. You will also be responsible for iterating best practices, sharing knowledge, and demonstrating agility to enhance deployment quality and velocity.

Requirements

• 5+ years of experience coding, problem-solving, and debugging software
• Ability to write code in Go, Python, PowerShell, or Bash
• Experience with configuration management tools such as Puppet, Chef, or PowerShell DSC
• Firm grasp on version control concepts and build systems
• Experience with continuous integration and deployment tools such as Jenkins
• Hands-on experience for provisioning cloud infrastructure using APIs (Terraform, CloudFormation, ARM, and more)
• Public cloud service knowledge like AWS IAM, EC2, EKS, ELB, ALB, CloudFront, Autoscaling, Networking, or AKS
• Strong experience with containers (Docker, Kubernetes, ECS, and more)
• Familiarity with Redis, Elasticsearch, DynamoDB, or RedShift
• Understanding of web, http, networking, security, scaling, and cloud native architecture
• Bachelor’s in computer science, engineering, mathematics, or related technology field

Responsibilities

• Collaborate with teams of SREs and DevOps engineers to operate SaaS capabilities across multi cloud providers
• Partner in improving workflows to build, test, and deploy applications
• Maintain CI/CD pipelines across development, QA, and production settings
• Configure and deploy containerized micro-service components
• Design, document, implement, and maintain operational components in applications
• Employ automation, effective monitoring, and infrastructure-as-code
• Develop and sustain data pipelines for gaining operational insights on deployed services and cloud apps
• Iterate best practices, share knowledge across the team, show agility in your growth; to increase deployment quality and velocity

Preferred Qualifications

• Experience with Agile software development methodologies (Scrum)
• Familiarity with monitoring tools such as Prometheus and Grafana; and cloud provisioning tools like Terraform and CloudFormation
• Working knowledge with Git
• Public cloud certification, AWS preferred

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
• Opportunities for personal and professional growth