We are hiring for AI OPS ENGINEER
Position : AI OPS ENGINEER
Experience : 5 yrs+
Location : Hyderabad
Notice Period: immediate to 15 days only
Location : Anywhere to Hyderabad
Interested Candidate can share CV at ap*************a@ac*****e.com
Key Responsibilities
Build automation jobs for CI CD development build and deployment of applications
Deploy applications on Support Cloud platforms, Container orchestration platforms, Internal external and complex multi-tiered infrastructure environments
Working with cutting edge CI CD technologies using to identify improvements and work with multiple teams to see these through to resolution
Working with a broad Infrastructure technology stack including Linux Windows RDBMS Networks Micro Service Architecture
Support Test environment, build support issue resolution, Seamless DevOps delivery of infrastructure change from development through to production
Required Skills
Hands on experience with Unix systems
Hands on Experience with CI & CD frameworks like Jenkins, TeamCity etc. and working knowledge in Maven.
Hands on Experience in building Docker images, Docker deployments, Private Repository configuration, Container configurations, Container orchestration using Kubernetes or Docker Swarm
Experience with unit testing frameworks and integration with CI technologies
Experience with Code coverage tools such as SonarQube and integration with CI technologies
Automating configuration management using tools like Ansible, Chef or Puppet
Automating provisioning in cloud environments preferably Azure, GCP, AWS
Experience in Scripting with Python, Groovy, Unix Shell, Powershell etc.
Knowledge of ELK stack is desirable
Experience with Azure DevOps & Azure ML Ops is highly desirable
Ability to learn, explore and experiment with open source DevOps tools and technologies is a must.
Tools & Technologies
Jenkins, Ansible, Chef, Puppet
Unix Shell, Python, Groovy
Docker, Docker Swarm, Kubernetes
SonarQube, JIRA,
Azure DevOps, Azure ML Ops
Keyskills: Artificial Intelligence Azure ML Ops Devops Unix bigdata Docker Swarm Docker Kubernetes
About our Client -Adjacent technology space: While our customers continue to invest in building the core of their offerings, there may be significant opportunities in the non-core space to build related products that can address unmet market needsHorizontal cross domain technologies: T...