
51 - 200 employees
💼 Consulting
📦 Logistics
📣 Marketing
💰 $30M Series B on 2021-11
Consulting • Logistics • Marketing
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.
🔥 14 hours ago
🇨🇦 Canada – Remote
⏰ Full Time
🟠 Senior
🔴 Lead
⛑ DevOps & Site Reliability Engineer (SRE)
👻 Ghost score 14%
AWS
Azure
Cloud
Distributed Systems
DynamoDB
EC2
Google Cloud Platform
Java
JavaScript
Jenkins
Kubernetes
Node.js
Python
Terraform
Where this job comes from
Posted on Netomi's careers page, not through a job board
First seen by Remote Rocketship 14 hours ago
Still open on Netomi's site. Checked 1 hour ago.

51 - 200 employees
💼 Consulting
📦 Logistics
📣 Marketing
💰 $30M Series B on 2021-11
Consulting • Logistics • Marketing
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.
• Design scalable, secure, and cost-efficient AWS architectures for greenfield builds and migrations • Lead systems design decisions covering high availability, disaster recovery, multi-account strategy, network topology, and performance at scale • Build and maintain Infrastructure as Code using Terraform, AWS CDK, or CloudFormation • Architect and improve CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline • Write production-grade automation and tooling in Python and Bash, and contribute to Java/Node.js services where needed • Use AI coding and assistant tools to accelerate IaC, scripting, documentation, and troubleshooting while reviewing output for security, correctness, and cost implications • Lead client-facing workshops, architecture reviews, and technical discussions • Translate business requirements into technical solutions and explain trade-offs • Implement observability and drive incident response and post-mortem practices • Embed security and compliance into infrastructure, including IAM least privilege, encryption, guardrails, and applicable SOC 2 / ISO / PCI requirements • Mentor engineers and raise the technical bar of the team
• 8+ years in DevOps, SRE, or cloud infrastructure roles, including 2+ years in an architect or technical lead capacity • Deep, hands-on AWS expertise across VPC networking, IAM and Organizations, EC2/ECS/Lambda, RDS/DynamoDB/S3, CloudWatch, and cost optimization • Proven record of designing distributed systems for scale, resilience, and fault tolerance • Strong Python and Bash skills for automation; working proficiency in Java or Node.js • Regular, practical use of AI assistants and coding agents in an engineering workflow • Experience leading client or stakeholder engagements, presenting architectures to leadership, managing expectations, and pushing back when technically necessary • Hands-on experience with Infrastructure as Code and containers/Kubernetes • AWS Certified Solutions Architect – Professional or DevOps Engineer – Professional (nice to have) • Kubernetes certifications (CKA/CKAD) (nice to have) • Consulting or professional services background (nice to have) • Experience building AI/LLM capabilities into internal tooling or pipelines (nice to have) • Multi-cloud exposure (Azure/GCP) (nice to have)
• Full Time - Remote • Equal opportunity employer committed to diversity in the workplace
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