Hiver
Hiver
51 – 200 Employees
Artificial IntelligenceB2BSaaS
Hiver is an AI-native SaaS company building omnichannel customer service software for businesses. Its platform began as a Gmail-native helpdesk and has expanded into Hiver Omni, a unified workspace for managing email, chat, Slack, voice, WhatsApp, and self-service portals. Hiver’s AI capabilities include AI Agents, AI Copilot, AI Help Center, AI Insights, and AI QA, supporting ticket triage, reply drafting, multi-step actions across connected business systems, and knowledge-base maintenance. The product combines shared inboxes, internal collaboration, and integrations with tools such as Salesforce, Shopify, and NetSuite. Hiver serves customer support, finance, IT service management, and HR teams, and the company reports that its platform is used by more than 10,000 teams. Its growing team works on AI, customer experience, SaaS infrastructure, and enterprise software for complex support operations.

DevOps Engineer – Hiver (Hybrid, Bengaluru)

Join Hiver as a DevOps Engineer supporting Kubernetes, AWS infrastructure, and GitOps for its AI-driven customer service platform. Help engineering teams improve reliability and address infrastructure scalability challenges.

Description

  • Build and operate Kubernetes clusters on Amazon EKS
  • Deploy applications to Kubernetes using ArgoCD
  • Administer datastores including Elasticsearch, Amazon RDS, and DocumentDB
  • Provision infrastructure with infrastructure-as-code tools, preferably Terraform
  • Operate messaging systems such as RabbitMQ and Kafka
  • Design solutions aligned with engineering team requirements
  • Address scalability limitations in the existing infrastructure
  • Support engineering teams with infrastructure needs
  • Drive GitOps adoption across the organization

Requirements

  • Bring 3–5 years of experience in SRE operations, systems administration, or DevOps
  • Demonstrate strong knowledge of Linux and operating system fundamentals
  • Have hands-on experience with containerization technologies including Docker and Kubernetes
  • Have experience working with cloud platforms, particularly AWS
  • Be able to script with Python or Bash
  • Have experience using monitoring tools such as Datadog or CloudWatch
  • Have practical experience with Grafana
  • Have experience working with CI/CD environments, including GitHub Actions
  • Experience integrating AI into DevOps workflows is advantageous
  • Experience with the ELK stack is advantageous

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