DevOps Engineer II

🕒 September 18, 2025

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Netomi

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $30M Series B on 2021-11

Artificial Intelligence • Enterprise • SaaS

Netomi is a company that specializes in providing AI-powered customer experience solutions. Their platform, known as Agentic OS, is designed for enterprise-scale customer service and integrates seamlessly with existing business systems. Netomi's solutions leverage generative AI and large language models to automate over 80% of customer inquiries, enhance customer satisfaction, and reduce support costs. Netomi is trusted by global brands across various industries, offering secure, proactive, and predictive customer care through omnichannel support, including email, chat, messaging, SMS, social media, search, and voice. The company ensures compliance with stringent security standards and data protection regulations.

📋 Description

• Design, deploy, and manage Kubernetes clusters; configure RBAC and optimize cluster performance. • Build, maintain, and enhance CI/CD pipelines using Jenkins, ArgoCD, Spinnaker, or similar; automate deployment processes. • Develop, maintain, and optimize Helm charts; ensure proper versioning and deployment strategies. • Integrate and manage service meshes (Istio, Linkerd) for service discovery, load balancing, secure communication, observability, and traffic management. • Write and maintain automation scripts in Python, Ruby, or Golang for infrastructure provisioning, monitoring, and debugging. • (Bonus) Implement chaos engineering principles to test and improve system reliability; simulate failures and measure resilience.

🎯 Requirements

• At least 3 years in DevOps or a related field. • Kubernetes (RBAC, cluster administration, Helm). • CI/CD tools such as Jenkins, ArgoCD, or Spinnaker. • Service mesh solutions like Istio, Linkerd, or similar. • Hands-on experience with Amazon ECS and Terraform (mandatory). • Proficiency in scripting languages (Python, Ruby, Golang). • Familiarity with cloud platforms (AWS, GCP, Azure). • Strong understanding of system design, networking, and infrastructure management. • Bonus: Knowledge and experience in chaos engineering tools like Chaos Monkey, LitmusChaos, or Gremlin.