About the role
This DevOps professional will have the opportunity to work for an AI-based Unicorn which is recognized as one of the fastest-growing companies on the Inc 5000 list They will work in the Development & Delivery of cloud native applications and AI solutions across all major cloud providers - AWS, GCP and Azure They will work in various data sciences and machine learning platforms like Hadoop, and Databricks
Your primary responsibility will be to identify improvement opportunities and build automation solutions to bring efficiencies and build resiliency in the deployment, scaling, monitoring, and maintenance of the o9 Digital Brain SaaS platform We seek an ideal candidate with strong understanding of SaaS applications, multi-cloud architecture, robust problem-solving & programming skills, and a proven history of implementing scalable automation solutions
What you will do in this role:
- Develop and maintain tools that ensure smooth operations of o9s cloud-based solution;
- Develop and deploy best-in-class tools that support continuous integration and continuous delivery processes;
- Perform system and network administration; manage o9 platform deployment at AWS, Azure, Google Cloud;
- Use Dockers to deploy and manage containers;
- Monitor infrastructure health using ELK cluster;
- Administer databases that are part of o9 platforms using MS SQL, Mongo
- Develop and debug Custom Integration service tasks
What you ll have
- 10+ years of experience in DevOps role, performance tuning, conducting application upgrades, patches, supporting continuous integration and deployment tooling with a Master s degree in Computer Science, Software Engineering, Information Technology, Industrial Engineering, Engineering Management OR 12+ years of experience in a DevOps role, performance tuning, conducting application upgrades, patches, supporting continuous integration and deployment tooling with a Bachelors degree in Computer Science, Software Engineering, Information Technology, Industrial Engineering, Engineering Management
- Experience with Dockers or similar and experience with Kubernetes or similar; and Hadoop
- Skills: Proficient with Cloud Operations (AWS, Azure, Google Cloud), Jenkins or similar technologies, Ansible, Terraform , Administration of databases (MS SQL, Mongo)
- Proficiency in programming languages such as Python, Ruby, or Go, coupled with scripting experience
- Significant experience with CI/CD tools like Jenkins, GitLab CI
- Solid grasp of networking principles and adherence to security best practices in cloud environments
- Proactive in staying current with developments in web applications, programming languages, software approaches, and architectures Adapt to these changes through self-training and research work
- Ensure non-functional requirements (security, performance, maintainability, scalability, usability, and reliability) are considered during solution design and implementation
- Ability and flexibility to work with teams globally, across time zones
- Cloud Architect certification and or K8 certification is preferred
How the process works
- Respond with your interest to us
- We ll contact you either via video call or phone call - whatever you prefer, with the further schedule status
- Online Assessment - Domain specific
- During the interview phase, you will meet with the technical panel for 60 minutes We will contact you after the interview to let you know if we d like to progress your application
- There will be 2 rounds of technical discussion followed by a Managerial round
- We will let you know if you re the successful candidate