Site Reliability Engineer

Company Description

Rackspace is a leading provider of IT as a service in today's multi-cloud world. It delivers expert advice and integrated managed services across applications, data, security and infrastructure, including public and private clouds and managed hosting. Rackspace partners with every leading technology provider, including Alibaba, AWS, Google, Microsoft, OpenStack, Oracle, SAP, and VMware. The company is uniquely positioned to provide unbiased expertise on which technologies will best serve each customer's needs. Rackspace was named a leader in the 2018 Gartner Magic Quadrant for Public Cloud Infrastructure Managed Service Providers, Worldwide and has been honored by Fortune, Glassdoor and others as one of the best places to work. Based in San Antonio, Texas, Rackspace serves more than 140,000 business customers, including most of the Fortune 100, from data centers on five continents. Learn more at www.rackspace.com.

Job Description

**US REMOTE** **WORK FROM HOME**

Rackspace Professional Services is helping customers solve business challenges using Kubernetes. RPS is seeking Kubernetes DevOps engineers who can help guide clients to the right architecture to meet their needs, design and build solutions, and steer developers towards best practices and patterns to containerize their applications. You'll be working on AWS, Azure, GCP, and OpenStack to deliver solutions to our customers, mentoring other talented engineers in k8s best practices, and solving problems in the realm of App Transformation, BigData, and IoT.

Work with us to solve customer business challenges by productionizing and standardizing home-grown k8s stacks so they autoheal and scale on demand. Help our customers rearchitect, refactor, and transform their applications to migrate into the cloud. Mentor the team as we grow and expand our container and Kubernetes offerings. Help other teams productize standard reference architectures so they are repeatable and stable.

You should have some experience with any of the following technologies:

• Container Orchestration systems such as Kubernetes, Mesos, Swarm or similar
• Service Discovery systems such as Etcd, Zookeeper, Consul or equivalent
• Networking systems like Envoy, Istio, flannel, or equivalent
• QC and monitoring systems like Twistlock, SonarQube, Prometheus, cAdvisor, DataDog
• Working knowledge of at least one of AWS, Azure, or GCP, both AKS/EKS/GKE or on-instance k8s deployments.
• Understanding of platform level concerns, such as configuration management, network request routing, blue/green or canary deployments, etc.
• Some interest in Operations concepts & technologies. (Automating Ops tasks using Chef, Puppet, Ansible, Yeoman, CloudFormation, Packer and Terraform. This is not an Ops position, but we are engineering solutions to automate Ops workflows.)
• Working knowledge of at least one of Jenkins, TeamCity, App Service Plan, CodePipeline, CircleCI, etc.

Qualifications

QUALIFICATIONS:

• Minimum 5 years experience developing software, with at least 2 years of experience using Docker, Kubernetes, and public cloud.
• Working knowledge of GoLang, Python, Java, Ruby, C# or Scala programming language(s).
• Working knowledge of a few RDBMS, NoSQL, and BigData solutions
• Understanding of data structures, code complexity analysis, concepts like Gof4 Design Patterns and CQRS.

EXPERIENCE/EDUCATION:

• High school diploma or equivalent required. Associate's degree in technical field preferred.
• 5 - 7 years of relevant technical experience required, including a minimum of 2 years of engineering experience in migration, implementation, and production management.
• Advanced knowledge and experience across multiple technologies in a single domain (Cloud, Security, DevOps, etc).
• OS certification and Rackspace Cloud Savvy/Smart certification strongly preferred.
• At least one top tier technical certifications in a highly desired technology domain preferred.
• Occasional domestic travel, up to 50%.

Additional Information

All your information will be kept confidential according to EEO guidelines.