Netomi

Enterprise AI for autonomous customer service

DevOps Architect

Cloud EngineeringConfirmed live in the last 24 hours

Full-timeNo salary listedRemote

About the Job

Requirements

At least 8 years of experience in DevOps, site reliability engineering, or cloud infrastructure roles, including at least 2 years in an architect or technical lead capacity.
Deep hands-on expertise in AWS, including VPC networking, IAM and Organizations, EC2/ECS/Lambda, RDS/DynamoDB/S3, CloudWatch, and cost optimization; experience designing production environments is required.
Proven experience designing distributed systems for scale, resilience, and fault tolerance, and explaining architecture trade-offs.
Strong Python and Bash skills for automation, with working proficiency in Java or Node.js.
Regular practical use of AI assistants and coding agents in engineering workflows, including the ability to verify their output.
Experience leading client or stakeholder engagements, presenting architectures to leadership, managing expectations, and challenging technically unsound requests.
Hands-on experience with Infrastructure as Code and containers or Kubernetes.

Responsibilities

Design scalable, secure, and cost-efficient AWS architectures for greenfield builds and migrations, and defend those designs to technical and non-technical stakeholders.
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, and set standards for its use across teams.
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 or Node.js services where needed.
Use AI coding and assistant tools to accelerate infrastructure-as-code work, scripting, documentation, and troubleshooting, and review AI-generated 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 using CloudWatch, Datadog, or similar tools, and drive incident response and post-mortem practices.
Embed security and compliance into infrastructure, including least-privilege IAM, encryption, guardrails, and applicable SOC 2, ISO, or PCI requirements.
Mentor engineers and raise the team's technical standards.

Desired Qualifications

AWS Certified Solutions Architect – Professional or DevOps Engineer – Professional certification.
Kubernetes certifications such as CKA or CKAD.
Consulting or professional services background.
Experience building AI or large language model capabilities into internal tooling or pipelines.
Multi-cloud exposure to Azure or Google Cloud Platform.

About the Company:

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!

About the Role:

We’re looking for a DevOps Architect to design, build, and own cloud infrastructure on AWS for our platform. This is a hands-on architecture role. You’ll set the technical direction, write the infrastructure and automation yourself, and act as the trusted technical advisor to client stakeholders, from engineering teams to executives.

You’ll also play a key part in how our team uses AI tools to deliver faster without lowering quality or security standards.

Responsibilities:

Design scalable, secure, and cost-efficient AWS architectures for greenfield builds and migrations, and defend those designs to technical and non-technical stakeholders.

Lead systems design decisions covering high availability, disaster recovery, multi-account strategy, network topology, and performance at scale.

Build and maintain Infrastructure as Code (Terraform, AWS CDK, or CloudFormation) and set standards for its use across teams.

Architect and improve CI/CD pipelines (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 (Claude, ChatGPT, Codex, Copilot, etc.) to speed up IaC, scripting, documentation, and troubleshooting, and critically review AI-generated 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 clearly.

Implement observability (CloudWatch, Datadog, or similar) and drive incident response and post-mortem practices.

Embed security and compliance into infrastructure (IAM least privilege, encryption, guardrails, SOC 2 / ISO / PCI as applicable).

Mentor engineers and raise the technical bar of the team.

Requirements:

8+ years in DevOps, SRE, or cloud infrastructure roles, including 2+ years in an architect or technical lead capacity.

AWS (Proficient): Deep, hands-on expertise across core domains: VPC networking, IAM and Organizations, EC2/ECS/Lambda, RDS/DynamoDB/S3, CloudWatch, and cost optimization. You’ve designed production environments, not just deployed into them.

Systems Design (Proficient): Proven record of designing distributed systems for scale, resilience, and fault tolerance. You can whiteboard an architecture and explain every trade-off.

Scripting & Programming (Intermediate–Advanced): Strong in Python and Bash for automation; working proficiency in Java or Node.js.

AI Tooling (Intermediate–Advanced): Regular, practical use of AI assistants and coding agents in your engineering workflow. You know where they speed things up, where they fail, and how to verify their output.

Client Communication (Proficient): Experience leading client or stakeholder engagements, presenting architectures to leadership, managing expectations, and pushing back when a request is technically unsound.

Hands-on experience with Infrastructure as Code and containers/Kubernetes.

Nice to Have:

AWS Certified Solutions Architect – Professional or DevOps Engineer – Professional

Kubernetes certifications (CKA/CKAD)

Consulting or professional services background

Experience building AI/LLM capabilities into internal tooling or pipelines

Multi-cloud exposure (Azure/GCP)

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

About the Company

Netomi

Enterprise AI for autonomous customer service

Netomi provides an enterprise AI platform that automates and optimizes customer service for large-scale, regulated industries. Its agentic AI watches real-time customer journeys and proactively resolves issues across chat, email, messaging, and voice, often without human help. The platform combines proprietary natural language understanding with no-code workflow automation, enabling rapid deployment and seamless integration with legacy systems, and it offers Auto-pilot for autonomous resolution and Co-pilot to assist human agents. It handles very high request volumes, maintains strong security standards (ISO 27001, SOC2, GDPR), and partners with Adobe to embed AI into software layers, aiming to reduce support costs and improve customer satisfaction.

Company size: 201-500
Company stage: Series C
Total funding: $147.5M
Headquarters: San Mateo, CA
Founded: 2016

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