Hiver
Hiver
51 – 200 Darbinieki
B2BMākslīgais intelektsSaaS
Hiver ir uz mākslīgo intelektu balstīts SaaS uzņēmums, kas uzņēmumiem izstrādā daudzkanālu klientu apkalpošanas programmatūru. Tā platforma sākotnēji bija Gmail vidē integrēts palīdzības dienests, bet vēlāk attīstījās par Hiver Omni — vienotu darba vidi e-pasta, tērzēšanas, Slack, balss zvanu, WhatsApp un pašapkalpošanās portālu pārvaldībai. Hiver mākslīgā intelekta iespējas ietver AI Agents, AI Copilot, AI Help Center, AI Insights un AI QA. Tās palīdz šķirot pieteikumus, sagatavot atbilžu melnrakstus, veikt vairāku darbību procesus savienotās uzņēmējdarbības sistēmās un uzturēt zināšanu bāzi. Produkts apvieno koplietojamas iesūtnes, iekšējo sadarbību un integrācijas ar tādiem rīkiem kā Salesforce, Shopify un NetSuite. Hiver apkalpo klientu atbalsta, finanšu, IT pakalpojumu pārvaldības un personāla vadības komandas, un uzņēmums norāda, ka tā platformu izmanto vairāk nekā 10 000 komandu. Augošā komanda strādā pie mākslīgā intelekta, klientu pieredzes, SaaS infrastruktūras un uzņēmumu programmatūras risinājumiem sarežģītām atbalsta darbībām.

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.

Apraksts

  • 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

Prasības

  • 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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