DevOps Lead - Real Time & Big Data

Esri   •  

Redlands, CA

Not Specified years

Posted 262 days ago

This job is no longer available.


Work collaboratively with a talented team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference. In this role, you'll deploy and operate robust technology that is powered by Internet of Things (IoT) and cloud scale architectures.

Join our team of exceptional engineers where you’ll design, deploy, and operate next-generation real-time and big dataGIS software-as-a-service (SaaS) capabilities for thousands of cloud users worldwide.  


  • Form, inspire, and lead a team of DevOps engineers to operate SaaS capabilities across multiple cloud regions
  • Design, implement, configure, and utilize monitoring systems to monitor the health of SaaS products
  • Configure and deploy containerized micro-service components that, when combined, power Esri’s SaaS offerings
  • Work collaboratively with other team members within an agile software development process
  • Maintain technical partnership with cloud partners and communicate Esri’s needs
  • Participate in technical spike efforts, bringing new innovative ideas to future versions of our software
  • Demonstrate latest product capabilities to stakeholders, prospects, and customers


  • Deep familiarity with Mesosphere DC/OS, Apache Mesos, Marathon & Metronome, or Kubernetes
  • Knowledge applying container technologies including Docker and the Open Container Initiative (OCI)
  • Proven knowledge of operating resilient, highly available, scalable, and performant SaaS capabilities
  • Expert level understanding and experience with cloud computing platforms: Microsoft Azure or Amazon EC2
  • Ability to establish continuous integration and delivery best practices using Jenkins and Maven
  • Working knowledge of a source control and issue management system, preferably GitHub
  • A solid foundation in software development, with strong competencies in data structures, patterns, and design
  • Bachelor’s or master’s in computer science or computer engineering, depending on position level

Recommended Qualifications

  • Experience operating and managing Apache Kafka with high-velocity data
  • Expertise running high-volume Apache Spark workloads: streaming, machine learning, recurring batch
  • Experience operating Elasticsearch and cloud native storage solutions: Azure CosmosDB or Amazon DynamoDB
  • Familiarity in deploying and operating reactive applications using Scala, the Play framework, and Akka
  • Knowledge of Esri ArcGIS or other web mapping technologies