Luxury PresenceRemote
Staff DevOps Engineer — Developer Infrastructure - US (Remote)
United States
Full Time
2 hours ago
$200,000 - $230,000 USD
H1B Sponsor
Key skills
Kubernetes (EKS)AWS ServicesInfrastructure as Code (IaC)CI/CD ToolsLoad Testing FrameworksMock InfrastructureObservability ToolsCross-team CommunicationAI Development ToolsRelease StrategiesAIClaudePlaywrightIntegration TestingAWSTerraformKubernetesGitHub ActionsEKSCircleCILambdaS3RDSIAMSQSDatadogOpenTelemetryOpenAPIGitHubGitOpsCachingCI/CD
About this role
Luxury Presence is building the AI growth platform for real estate, and they are seeking a Staff DevOps Engineer to build the infrastructure that powers their next-generation development pipeline. This role involves shaping pre-production environment infrastructure, automated quality gates, and internal tools to ensure high-quality code delivery.
Responsibilities:
- Design and operate ephemeral, pre-warmed development environments that agents and engineers can spin up on demand
- Extend our internal CLI (luxp) so that a new engineer or an AI agent can run luxp local start and have a working, validated environment in minutes — with service discovery, dependency management, and local configuration handled automatically
- Build environment parity monitoring to ensure dev environments match production behavior
- Own the infrastructure-level gates that prove a deploy is safe before it reaches production
- Build and operate automated load testing, performance benchmarking, and security scanning gates in the pipeline
- Partner with QA and engineering to expand gate coverage across services — the gates apply equally to all contributions regardless of author (or agent)
- Build containerized mock services (generated from OpenAPI specs) so contributors can validate integration code against realistic third-party dependencies locally
- Stand up Playwright-based UI validation in agent and CI loops
- Create the infrastructure that supports iterative self-refinement — where an agent or engineer can run their output, capture what failed, and iterate before opening a PR
- Build the review tooling, metrics dashboards, and operational controls that make our pipelines observable and improvable (especially at increased throughput)
- Surface scoring signals, approval rate trends, gate pass rates, and common failure modes
- Create the policy layer that defines per-component or per-task-type what the approval requirements are
Requirements:
- 6–10+ years in DevOps, Platform Engineering, or SRE roles building and operating production systems at scale
- Active user of AI development tools (Claude Code, Codex, etc) in your infrastructure workflow
- Expertise with Kubernetes (EKS) and AWS (IAM, VPC, ECR, SSM/Secrets Manager, S3, SQS, Lambda, RDS/Aurora)
- Strong IaC experience (Terraform preferred) and GitOps workflows (Argo CD or similar)
- Proven track record building ephemeral environments, developer tooling, or internal platforms (CLIs, scaffolding tools, developer portals)
- Experience with load testing frameworks (k6, Locust, Gatling, or similar) and automating performance gates in CI/CD pipelines
- Examples of building mock or stub infrastructure for integration testing at scale — containerized services, API mocking, dependency isolation
- CI/CD depth (CircleCI, GitHub Actions, or similar) including caching/parallelism, artifact management, test reliability, and pipeline observability
- Experience with release strategies (canary/blue-green, automated rollbacks) and progressive delivery
- Observability fundamentals (Datadog, OpenTelemetry) with the ability to define SLIs/SLOs and wire them to delivery decisions
- Excellent cross-team communicator who can translate platform constraints into developer-friendly solutions and documentation