> Markdown version of [/jobs/ext/4302541-devops-engineer](https://www.wearedevelopers.com/jobs/ext/4302541-devops-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevOps engineer - **Company:** NATIVE AI LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $164,000 - $246,000 - **Contract:** Permanent contract - **Skills:** Microsoft Access, Artificial Intelligence, Amazon Web Services, DevOps, Identity and Access Management, Machine Learning, Spinnaker, AI Infrastructure, Scripting, System Availability, Large Language Models, Sofi, Terraform - **Published:** October 16, 2026 - **Apply:** https://www.builtincolorado.com/job/senior-devops-engineer/11708105?handler=ApplyRedirect ## About the Role * 5+ years in DevOps, platform engineering, or SRE. * Deep knowledge of AWS and Terraform. * Operated both ECS and EKS in production. * Deployed services with Helm and continuous-delivery tooling such as Spinnaker or ArgoCD. * Fluent in OpenTelemetry collectors and pipelines. * Working knowledge of IAM, SSO, and access auditing. * Strong scripting skills for automation and troubleshooting. * Quick to ramp on unfamiliar services and to drive their technical implementation. * Built and run internal tools or services that integrate AI models in production, including managed model platforms. * Exposure to compliance and audit controls. ## Description Better's engineering platform supports a large, multi-service monorepo and the teams that build and run it. We're looking for a senior DevOps engineer to make that platform reliable, secure, scalable, and easier to work with. You'll manage infrastructure across the monorepo and its supporting services, from AWS and Kubernetes to CI/CD and developer tooling. We're building that foundation around AI, both the tools engineers rely on every day and the infrastructure our AI features run on. You'll partner with engineers across the organization to scale a growing SaaS business, support multi-tenant workloads, and make tradeoffs between reliability, performance, and cost. Responsibilities * Make AI a standard part of daily engineering, including coding, operations, incident triage, and documentation. * Build and manage the company's shared AI infrastructure, including model access and governance, LLM observability and evals, and AI features that improve platform reliability, security, and triage. * Provision Terraform-managed AWS infrastructure for a large multi-service monorepo. * Operate production workloads on both Amazon ECS and Amazon EKS. * Govern the package supply chain: artifact registries, dependency distribution, provenance, and registry migrations. * Build and improve CI/CD pipelines and deployment tooling. * Drive cloud cost efficiency through cost attribution, commitment decisions, and rightsizing. * Administer identity and access controls, including SSO, IAM policies, and access audits. * Build and maintain observability, including OpenTelemetry pipelines, dashboards, and monitors, and participate in the on-call rotation, triaging alerts and leading incident response.