DevOps Engineer
Who we are, what we are doing?
- Language Cloud is a SaaS platform developed by SDL that exposes as a service the best of our language capabilities and of the language expertise that made us leaders in the translation industry.
- We are building Language Cloud in a microservice architecture using Java and C#. Our engineers are familiar with multiple build and deploy pipelines. We implement Continuous Delivery by using tools like Chef, Jenkins, Spinnaker, Nexus and deploying our services on a hybrid cloud offered by NTT and AWS.
What you’ll be doing:
- Build and operate the only end-to-end intelligent translation management solution
- Work closely with development and product teams throughout the dev lifecycle and deployment process, to ensure high-quality releases and successful outcomes
- Responsible for application deployments, monitoring, and overall service availability
- Understand system limitations and building observability tools to maintain infrastructure reliability and/or alert on potential production issues
- Configuration and management of: Kubernetes clusters, Docker containers, Java micro-services, .NETCore micro-services, .NET Framework services, VMs/EC2 instances, MongoDB clusters, ELS clusters, RabbitMQ, Redis and related technologies
- Release management using Spinnaker, Chef, Jenkins, Nexus, Azure DevOps
What we’re looking for:
- Strong team player with excellent communication, documentation and problem-solving skills
- Experience with Linux and Windows system administration including managing servers, shell scripting, networking, performance tuning, troubleshooting and internals
- 5+ years of relevant experience in similar roles
- Capable to independently investigate, and solve complex software issues with minimal supervision
- Familiarity with Kubernetes, Docker and AWS represent a major advantage
- Experience working in an Agile environment
- BS degree in Computer Science or related field or equivalent practical experience
What makes you a great fit:
- Strong Linux and Windows knowledge
- Experience with Cloud platforms and AWS
- Experience with Chef/Ansible/Terraform/CloudFormation or other similar technologies
- Experience working with large-scale workflows and distributed processing systems
