Staff DevOps Engineer — Developer Infrastructure - US (Remote)

Luxury Presence is building the AI growth platform for real estate and is seeking a Staff DevOps Engineer to enhance their development pipeline. The role involves designing infrastructure for development environments, building automated quality gates, and creating internal tools to improve pipeline observability and performance.

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. We use AI assistants daily for Terraform changes, Kubernetes debugging, automation scripting, and operational investigations. You should be someone who reaches for these tools naturally and has opinions about where they help and where they don't
• 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