DevOps Architect
Netomi · Anguilla, Antigua and Barbuda, Aruba, Bahamas, Barbados, Belize, Bermuda, Bonaire, Sint Eustatius and Saba, Canada, Cayman Islands, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, El Salvador, Greenland, Grenada, Guadeloupe, Guatemala, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Pierre and Miquelon, Saint Vincent and the Grenadines, Sint Maarten (Dutch part), Trinidad and Tobago, Turks and Caicos Islands, United States, United States Minor Outlying Islands, Virgin Islands, British, Virgin Islands, U.S. · posted today ago
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About this role
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)
Originally posted on Himalayas
