DevOps 2 Engineer
Hiver
- Location
- Onsite (Bengaluru, Karnataka)
- Employment
- Full-time
- Level
- Mid Level
Posted 3 weeks ago
About the role
Hiver is an AI-driven customer service platform helping teams resolve complex support requests across multiple channels. The DevOps 2 Engineer role focuses on managing Kubernetes clusters, implementing GitOps, and provisioning infrastructure to support scalable engineering operations.
Skills
Kubernetes
EKS
ArgoCD
Terraform
Linux
Docker
AWS
Python
Bash
Datadog
CloudWatch
Grafana
GitHub Actions
Elasticsearch
Kafka
RabbitMQ
Full job details
DevOps 2 Engineer
Department: Engineering
Employment Type: Full Time
Location: Bangalore - India
Reporting To: Amit Agarwal
Description
About us:
Hiver is a modern, AI-driven customer service platform used by companies across healthcare, finance, logistics, education, and technology. We help teams deliver fast, human support across email, chat, phone, WhatsApp, and more — without the complexity of legacy helpdesks.
We’re a challenger brand in a category dominated by over-engineered tools. We build software that is simple, powerful, and genuinely helpful, and we operate internally with that same philosophy. If you want meaningful ownership, thoughtful teammates, and work that ships, Hiver is a great place to do it.
Key Responsibilities
What will you do?
- Create and manage Kubernetes clusters on EKS
- Deploy applications to Kubernetes through ArgoCD
- Manage multiple datastores - Elasticsearch, RDS, DocumentDB, etc
- Provision infrastructure with IaC tools (Terraform preferably)
- Manage queuing systems - RabbitMQ, Kafka
- Architect solutions as per engineering teams' needs
- Solve scalability issues with current infrastructure
- Provide support to engineering teams
- Implement GitOps across the organization
Key Requirements
What are we looking for?
- 3-5 years of experience in SRE Operations / System Administrator / DevOps role
- Strong working knowledge of Linux and operating system fundamentals
- Experience with containerization (Docker, Kubernetes)
- Experience working with Cloud platforms (AWS)
- Scripting knowledge (Python / Bash)
- Experience with monitoring tools like Datadog / CloudWatch
- Experience with Grafana is a must
- Experience working with a CI/CD setup is a must (GitHub Actions)
- Experience with integrating AI into DevOps workflows will be an advantage.
- Experience with the ELK stack will be an advantage