DevOps Engineer
Bengaluru, India · Hybrid · Full-time
- Posted 1mo ago
- From Hiver’s careers page
- Location
- Bengaluru, India
- Work mode
- Hybrid
- Type
- Full-time
- Experience
- 3+ years
- Department
- Engineering
Opens the listing on hiverhq.pinpointhq.com
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About the role
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
- 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
- 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
Skills they ask for
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About Hiver
Agentic customer service platformHiver is an agentic customer service platform where teams and AI work together to resolve customer issues across channels.
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In your inbox every Wednesday and SaturdayPersonalised suggestions from verified career pages, matched to your role, location, level and skills.