Senior DevOps Engineer - LATAM at Luxury Presence — AI Jobs | Neura Market

About This 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 Senior DevOps Engineer to build the AI-native, self-service infrastructure platform that powers how Luxury Presence ships software. It's 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 help make 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.
Build the golden paths engineers and agents ship on. Within a technical direction set by the team's Staff engineers, build and operate the layers they rely on (a unified CI/CD pipeline, GitOps-based delivery with ArgoCD, an IaC module catalog, and scaffolding for new services), owning specific components end to end. 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.
Build and operate the validation platform and quality gates. Provide the rails that teams validate changes on before production: ephemeral PR environments with auto-teardown, plus the security, performance, and load-testing gates developers rely on. Implement new gates as coverage grows, keep them fast and low-flake, and drive services onto them. Make gate and test results machine-readable and callable outside the PR flow, so agents and humans alike can act on a failure directly.
Own the reliability and observability of what you build. Create the dashboards and operational controls that make the surfaces you own observable and improvable as throughput grows: gate pass rates, approval-rate and self-service-ratio trends, common failure modes, cost attribution, and DORA metrics surfaced to teams. Carry on-call for those surfaces and run incidents from detection through follow-up, turning recurring toil into automation and runbooks other engineers reuse.

What We're Looking For

Senior-level experience in SRE, DevOps, or Platform Engineering. You've built and operated production infrastructure at scale and can own a significant workstream end to end with limited oversight.
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.
CI/CD depth (GitHub Actions), including caching/parallelism, artifact management, test reliability, and pipeline observability.
Full incident-ownership experience: you've carried on-call for systems you built and driven incidents from detection through follow-up.
Excellent cross-team communication: you can translate platform constraints into developer-friendly solutions and documentation.

Bonus Points

Identity, access, and policy-as-code experience: workload/service identity (SPIFFE/SPIRE, OIDC), short-lived credentials, secrets management (Vault), and policy enforcement.
Experience building self-service developer platforms, ephemeral environments, CLIs, scaffolding tools, or internal developer portals (Backstage or custom). You treat infrastructure as a product.
Cost-awareness: you've built cost attribution, budgets, or rightsizing into a platform.

Our Tech Stack

Infrastructure: AWS, EKS, Terraform (with Atlantis), Vault, Docker, OPA (Open Policy Agent).

CI/CD: GitHub Actions, ArgoCD + Kustomize (GitOps).

Messaging: Kafka (Confluent Cloud).

Observability: Datadog, OpenTelemetry.

Languages/Apps: Node.js/TypeScript microservices, Python, React front-ends.

Tasks

•Build and operate the self-service infrastructure platform. Make the right thing the easy thing, and the secure thing the default.
•Build the golden paths engineers and agents ship on. Within a technical direction set by the team's Staff engineers, build and operate the layers they rely on (a unified CI/CD pipeline, GitOps-based delivery with ArgoCD, an IaC module catalog, and scaffolding for new services), owning specific components end to end. 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.
•Build and operate the validation platform and quality gates. Provide the rails that teams validate changes on before production: ephemeral PR environments with auto-teardown, plus the security, performance, and load-testing gates developers rely on. Implement new gates as coverage grows, keep them fast and low-flake, and drive services onto them. Make gate and test results machine-readable and callable outside the PR flow, so agents and humans alike can act on a failure directly.
•Own the reliability and observability of what you build. Create the dashboards and operational controls that make the surfaces you own observable and improvable as throughput grows: gate pass rates, approval-rate and self-service-ratio trends, common failure modes, cost attribution, and DORA metrics surfaced to teams. Carry on-call for those surfaces and run incidents from detection through follow-up, turning recurring toil into automation and runbooks other engineers reuse.
•Senior-level experience in SRE, DevOps, or Platform Engineering. You've built and operated production infrastructure at scale and can own a significant workstream end to end with limited oversight.
•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.
•CI/CD depth (GitHub Actions), including caching/parallelism, artifact management, test reliability, and pipeline observability.
•Full incident-ownership experience: you've carried on-call for systems you built and driven incidents from detection through follow-up.
•Excellent cross-team communication: you can translate platform constraints into developer-friendly solutions and documentation.