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DevOps Engineer at ScienceLogic
Reston, VA, US / Raleigh, NC, US / Minneapolis, MN, US

ScienceLogic is seeking a Senior DevOps Engineer to bridge the gap between product software development and IT operations. The role involves the design, development, provisioning and deployment of cloud infrastructure and automated CI/CD pipelines. This role is part of a growing DevOps organization dedicated to modernizing our development tools, systems, and processes.  You will be a driving force for speed and efficiency within our Engineering organization so teams can deploy software to the cloud and on-premise customer environments rapidly.  This role demands a passion for modern Public Cloud development tools, container technologies, and the flexibility and desire to learn and grow using cutting edge technologies for our industry leading software platform.

Who we are…

We are a Forrester Wave Leader.  We are a small, nimble software company who is reinventing the way companies manage their hybrid cloud data and systems.  Through AI/ML, we provide modern IT Operations with actionable insights to predict and resolve problems faster and smarter.  Our Engineers and Product Managers are some of the brightest, most creative minds in their field and we are passionate about our product.  We work hard and play hard.  We use bleeding edge technologies on our industry leading SL1 AIOps platform.

What you’ll be doing…

  • Work collaboratively with software engineering to develop, deploy and operate our systems; as well as help automate and streamline our operations and processes.   
  • Architect and develop best practices for software builds, continuous integration tools and infrastructure automation.
  • Design microservices architecture using Kubernetes in a Linux environment.
  • Develop best practices for the deployment, monitoring and operations of our SaaS product offering.
  • Evolve a new deployment automation framework.
  • Support development activities including troubleshooting and resolving issues in our dev, test and production environment.
  • Monitor systems to ensure maximum up-time and quality of service.
  • Provide internal support and scalability for our continuously evolving environment.
  • Work with Continuous Integration/Configuration platforms and tools to automate infrastructure provisioning and deployment flow.
  • Building a release pipeline to enable fast, stable and secure delivery of critical platform components.
  • Evolve our DevOps build framework and implement standards, processes, and controls for release and deployment activities.
  • Develop sound version control best practices.

Qualities you possess…

  • You bring efficiencies in all environments through a dynamic combination of system administration and deployment experience.
  • Bachelor’s Degree in Computer Science or equivalent experience.
  • 5+ years of DevOps/Systems Engineering/Linux Administration experience.
  • Experience deploying and operating in the Public Cloud (AWS).
  • Experience implementing solutions with container technologies such as Kubernetes.
  • Experience with deployment automation and CI/CD tools such as Jenkins, Ansible or Chef.
  • Experience with source control and repository management tools, such as GIT and Artifactory.
  • Demonstrated automation experience.
  • Demonstrated expertise with Linux commands.
  • Shell and Bash scripting experience.
  • Knowledge of best practices and IT operations in a highly available operations environment.
  • Prior experience building software is a plus.
  • Familiarity with software packaging (Linux RPM’s and Linux RPM Spec Files) is a plus.
  • AWS certifications are a plus.
  • Security experience is a plus.
  • 2+ years of Python or other open source development experience is a plus.

About ScienceLogic 

ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation.