About this role
- This position is open to candidates located in Colombia or Costa Rica only -
Gorilla Logic is looking for a Senior DevOps Engineer responsible for automation, instrumentation, and stability of our client’s various software platforms. Our environment will require you to work effectively with your teammates, of course. But your real success will be measured by how well you couple critical thinking with self-motivation, enthusiasm, and determination.
Responsibilities
- Combine sysadmin and development skills to automate IT infrastructure and operations
- Responsible for availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning
- Focus on IT infrastructure to optimize existing systems and eliminating work through automation that defines clear processes for a given operation/business solution
- Sustain scalable and highly reliable software systems for infrastructure and operations
- Applying a software engineering mindset to systems administration
- Partner with development teams to bring speed and efficiency of deployment of new platform systems
Technical Requirements
- Bachelor’s degree in Computer Science or related field (or equivalent experience)
- 5+ years of DevOps, systems administration and/or development background
- Strong public Cloud experience in GCP is a must
- Coding experience with one or more high level languages like Java, Ruby, Python, Go, JavaScript or C
- CI/CD experience including build, source control and test automation with tools like Jenkins, Git, Puppet, Chef, Maven, Ant and Docker
- Experience with infrastructure deployment, optimization, monitoring, performance of Cloud systems
- Experience with TerraForm
- Strong Linux experience including scripting
- Demonstrated track record of maintaining and building large scale distributed systems
- Proficient in scripting, coding, and deployment automation
Bonus Skills
- Cloud specific CI/CD experience including AWS CodeDeploy, GCP Cloud Build and/or Azure DevOps
- Experience with dynamic resource orchestration frameworks (Mesos, Docker Swarm, Kubernetes)