About the role
Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business.
The Opportunity
We're hiring a Staff DevOps Engineer to build the AI-native, self-service infrastructure platform that powers how Luxury Presence ships software — a platform where every developer, human or agent, can validate a change in minutes, understand failures immediately, and ship confidently.
You'll join a small, high-leverage Infrastructure team with a clear mandate: multiply what every engineer and agent can do through automation, self-service, and guardrails-by-design. The goal is a platform where self-service is the default and human intervention is the exception — and you'll be central to making that real.
What You'll Do
Build and operate the self-service infrastructure platform. Make the right thing the easy thing — and the secure thing the default. Own core layers of the platform that developers and agents build on: a unified CI/CD pipeline, GitOps-based delivery (ArgoCD), an IaC module catalog, and golden-path scaffolding for new services. The goal is for engineers and agents to provision infrastructure and ship changes within guardrails — without hand-writing Terraform/Kustomize or waiting on a ticket.
Make agents first-class developers. Help generalize our agent isolation pattern into reusable platform primitives: sandboxed runtime, workload identity, audit trails, and approval gates. Every agent action runs on the same identity, audit, ownership, cost-attribution, and approval rails as a human.
Own the validation platform and quality gate frameworks. Provide the rails teams validate changes on before production – ephemeral PR environments with auto-teardown, and the security, performance and load-testing frameworks that developers leverage. Make gate and test results machine-readable and callable outside the PR flow, so agents and humans alike can act on a failure directly.
Build internal tooling, observability, and metrics. Create the dashboards and operational controls that make our pipelines observable and improvable at increasing throughput — gate pass rates, approval-rate and self-service-ratio trends, common failure modes, cost attribution, and DORA metrics surfaced to teams.
What We're Looking For
Staff-level ownership in DevOps, Platform Engineering, or SRE — you've built and operated production platforms at scale and can lead a foundational initiative end to end.
An active, opinionated use of AI development tools (Claude Code, Codex, etc.) in your own infrastructure workflow — Terraform changes, Kubernetes debugging, automation, operational investigations. You have a point of view on where these tools help and where they don't.
Deep Kubernetes (EKS) and AWS experience (IAM, VPC, ECR, SSM/Secrets Manager, S3, SQS, Lambda, RDS/Aurora).
Strong IaC (Terraform) and GitOps experience, including PR-driven apply workflows (Atlantis or similar) and ArgoCD.
Identity, access, and policy-as-code experience: workload/service identity (SPIFFE/SPIRE, OIDC), short-lived credentials, secrets management (Vault), and policy enforcement.
A proven track record building self-service developer platforms, ephemeral environments, CLIs, scaffolding tools, or internal developer portals (Backstage or custom). You treat infrastructure as a product.
CI/CD depth (GitHub Actions), including caching/parallelism, artifact management, test reliability, and pipeline observability.
Cost-awareness: you've built cost attribution, budgets, or rightsizing into a platform.
Excellent cross-team communication — you can translate platform constraints into developer-friendly solutions and documentation.
Our Tech Stack
Infrastructure: AWS, EKS, Terraform (with Atlantis), Vault, Docker, Crossplane.
CI/CD: GitHub Actions, ArgoCD + Kustomize (GitOps).
Messaging: Kafka (Confluent Cloud).
Observability: Datadog, OpenTelemetry.
Languages/Apps: Node.js/TypeScript microservices, Python, React front-ends.