What Does Success Look Like
This role is responsible for maintaining and developing optimum cloud infrastructure that ensures stability, scale and performance. This will require working with tools such as Docker, Kubernetes and automating pipelines through Jenkins and Python.
What You’ll Do As a Sr. Devops Engineer you will:
• Identify and proactively come up with solutions to address complex issues and enhance scalability of the systems
• Deploy, automate, maintain, troubleshoot and constantly improve the systems that will keep the backend infrastructure running smoothly.
• Maintain and improve continuous integration infrastructure and services (build, test and package pipelines)
• Help development teams setup and maintain their continuous integration pipeline and tools.
• Responsible for peer and junior level review of code/work and ensure sharing of best practices within the team and on various platforms
• Working knowledge of modern, continuous development techniques and pipelines (Agile, Kanban, CI/CD, Jenkins, Git, Artifactory).
• Building and maintaining Microservices Architecture in production using Docker and Kubernetes.
• Production level expertise with containerization orchestration engines (i.e., Kubernetes)
What Makes You Qualified
• Required Educational Qualification: BE/ B.Tech
• Experience Required: 5+ years
• Experience in building, automating and operating large-scale applications.
• Hands-on experience with mainline programming and scripting languages such as Python, Java.
• In depth working knowledge of Unix/Linux systems administration and troubleshooting.
• Good working knowledge of modern, continuous development techniques and pipelines (Agile, Kanban, CI/CD, Jenkins, Git, Artifactory)
• Building and maintaining Microservices Architecture in production using Docker and Kubernetes.
JOB DESCRIPTION & POSTING
• Hands-on experience with Jenkins, Dockers, Ansible, AWS Services, Apache, Caching, Service discovery & queuing technology
• Production level expertise with containerization orchestration engines (i.e., Kubernetes)