Exponentia.ai - DevOps Engineer
Indexed description
A team of experienced ML engineers, data scientists, big data engineers, and consultants focus on conceptualizing and designing innovative and actionable products and solutions to complex problems.
Our flagship product - Engagely (engagely.ai ) is an enterprise-grade conversational AI, capable of automated cognitive decision making to improve customer support, reduce operational costs and increase sales.
Job Description
Function : IT Operations and Support DevOps / Cloud, Software Engineering Backend Development
- Kubernetes
- DevOps
- AWS
- Python
- Linux
- Cloud experience - AWS/Azure/GCP 1 plus year.
- Kubernetes.
- Elastic search.
- Monitoring and alerting - cloud watch or other monitoring service.
- Linux OS experience (2 years +).
- Good communication skills (English).
- Monitoring Kubernetes workloads - prometheus, grafana.
- CI/CD pipeline hands-on experience.
- bash scripting
- ML ops understanding would be a plus.
- ML python libs experience would be a plus.
- This is more Kubernetes devops person - who can also do basic coding and debugging.
- Some ML experience will be a plus to work with xAI solution engineers.
- Kubernetes admin or power user and must be familiar with yaml.
- A good communication skill (English).
- SQL - postgres or other SQL database.
- NOSQL - mongodb.
- Experience with the deployment of databases on Kubernetes.
- Stateful set
- Deployment
- PVC
- Config map etc
(ref:hirist.tech)
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search