Hiver
Hiver
Hiver एक AI-आधारित SaaS कंपनी है, जो व्यवसायों के लिए ओम्नीचैनल ग्राहक सेवा सॉफ़्टवेयर विकसित करती है। इसका प्लेटफ़ॉर्म Gmail-आधारित हेल्पडेस्क के रूप में शुरू हुआ था और अब Hiver Omni तक विस्तारित हो चुका है, जो ईमेल, चैट, Slack, वॉइस, WhatsApp और स्वयं-सेवा पोर्टलों के प्रबंधन के लिए एकीकृत कार्यक्षेत्र उपलब्ध कराता है। Hiver की AI क्षमताओं में AI Agents, AI Copilot, AI Help Center, AI Insights और AI QA शामिल हैं, जो टिकटों की छंटाई, जवाबों का मसौदा तैयार करने, जुड़े हुए व्यावसायिक सिस्टमों में बहु-चरणीय कार्रवाइयों और नॉलेज बेस के रखरखाव में सहायता करती हैं। यह उत्पाद साझा इनबॉक्स, आंतरिक सहयोग और Salesforce, Shopify तथा NetSuite जैसे टूल्स के साथ एकीकरण को एक साथ जोड़ता है। Hiver ग्राहक सहायता, वित्त, IT सेवा प्रबंधन और HR टीमों की सेवा करता है, और कंपनी के अनुसार उसके प्लेटफ़ॉर्म का उपयोग 10,000 से अधिक टीमें करती हैं। इसकी बढ़ती हुई टीम जटिल सहायता संचालन के लिए AI, ग्राहक अनुभव, SaaS अवसंरचना और एंटरप्राइज़ सॉफ़्टवेयर पर काम करती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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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