DevOps Engineer – I | Netomi

Company: Netomi
Job Type: Full Time
Work Mode: Remote
Location: Gurugram (Remote – India)
Department: Product Engineering – DevOps & Infrastructure

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Company Overview

Netomi is a leading agentic AI platform for enterprise customer experience, helping global organizations automate and scale AI-driven customer interactions. Netomi works with major international brands across aviation, insurance, hospitality, and financial services to deliver cloud-native, enterprise-grade AI automation solutions.

Backed by top global investors including Y Combinator, Index Ventures, and WndrCo, Netomi enables organizations to reduce operational costs, improve system efficiency, and accelerate digital transformation using scalable cloud infrastructure and AI-powered platforms.

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Role Summary

Netomi is hiring a DevOps Engineer – I to collaborate closely with software engineering teams and ensure reliable deployment, monitoring, and scalability of cloud-based production systems. This role focuses on Kubernetes administration, CI/CD automation, cloud infrastructure management, and system reliability engineering in a modern DevOps environment.

You will play a key role in maintaining high availability, security, and performance across distributed systems supporting enterprise applications.

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Key Responsibilities

Kubernetes & Container Orchestration

• Design, deploy, and manage production-grade Kubernetes clusters.
• Implement RBAC policies, access controls, and security best practices.
• Optimize cluster performance, scalability, and cost efficiency.
• Manage containerized workloads using Helm charts and Kubernetes manifests.

CI/CD Automation & Release Engineering

• Build and maintain CI/CD pipelines using Jenkins, ArgoCD, Spinnaker, or similar tools.
• Automate build, test, and deployment workflows to reduce release cycles.
• Improve software delivery reliability across cloud-native microservices.

Helm & Configuration Management

• Develop, version, and optimize Helm templates for Kubernetes deployments.
• Implement standardized deployment strategies for multiple environments.

Service Mesh & Observability

• Integrate and manage service mesh technologies such as Istio or Linkerd.
• Enable traffic management, service discovery, load balancing, and secure communication.
• Improve observability, monitoring, and tracing for distributed systems.

Automation & Scripting

• Write automation scripts using Python, Golang, or Ruby.
• Automate infrastructure provisioning, monitoring, alerting, and debugging workflows.
• Support Infrastructure as Code using Terraform for cloud resource management.

Reliability & Resilience Engineering (Bonus)

• Apply chaos engineering practices to validate system resilience.
• Simulate infrastructure and application failures to improve production stability.
• Enhance system fault tolerance and disaster recovery readiness.

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Requirements

Experience

• Minimum 2+ years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering.

Mandatory Technical Skills

• Strong hands-on experience with Kubernetes (RBAC, cluster administration, Helm).
• Proven experience with CI/CD automation tools such as Jenkins, ArgoCD, or Spinnaker.
• Hands-on experience with Amazon ECS and Terraform (mandatory).
• Proficiency in AWS cloud services and cloud infrastructure management.
• Experience with Linux systems, networking, and distributed system design.

Programming & Scripting

• Proficiency in Python, Golang, or Ruby.
• Ability to write clean, maintainable automation scripts.

Cloud Platforms

• Experience with AWS, with exposure to GCP or Microsoft Azure preferred.
• Understanding of cloud security, monitoring, and cost optimization.

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Preferred / Bonus Skills

• Experience with chaos engineering tools such as Chaos Monkey, LitmusChaos, or Gremlin.
• Familiarity with microservices architecture and service reliability engineering (SRE).
• Knowledge of cloud monitoring, logging, and observability platforms.

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Why Join Netomi?

• Work on AI-powered enterprise cloud platforms used by global brands.
• Gain exposure to modern DevOps, Kubernetes security, and cloud automation.
• Fully remote work environment with cutting-edge technologies.
• Opportunity to build scalable infrastructure supporting high-traffic production systems.

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