Luxury Presence

Luxury Presence

Luxury Presence is a premier provider of real estate websites and digital marketing services tailored for high-grossing agents, teams, and brokers. They combine tech talent with real estate expertise to set a new standard for elite luxury real estate w...

Real Estate
251-1K
Founded 2015
$5M raised

Description

  • Design and operate ephemeral, pre-warmed development environments for engineers and AI agents.
  • Extend the internal CLI so users can launch a validated local environment with automated service discovery, dependency management, and configuration.
  • Build environment parity monitoring to ensure development environments match production behavior.
  • Own infrastructure-level quality gates that validate deploys through load testing, performance benchmarking, and security scanning.
  • Partner with QA and engineering to expand automated gate coverage across services and contributors.
  • Build containerized mock services from OpenAPI specs to support local integration testing against realistic dependencies.
  • Stand up Playwright-based UI validation in agent and CI workflows.
  • Create infrastructure for iterative self-refinement so engineers and agents can run code, capture failures, and improve before opening a PR.
  • Build review tooling, metrics dashboards, and operational controls to make pipelines observable and manageable at scale.
  • Define policy layers for approval requirements by component or task type.

Requirements

  • 6–10+ years of experience in DevOps, Platform Engineering, or SRE roles building and operating production systems at scale.
  • Active use of AI development tools such as Claude Code or Codex in infrastructure workflows.
  • Strong experience with Kubernetes, especially EKS, and AWS services including IAM, VPC, ECR, SSM/Secrets Manager, S3, SQS, Lambda, and RDS/Aurora.
  • Strong infrastructure-as-code experience, with Terraform preferred, and GitOps workflows such as Argo CD.
  • Proven experience building ephemeral environments, developer tooling, or internal platforms such as CLIs, scaffolding tools, or developer portals.
  • Experience with load testing frameworks such as k6, Locust, or Gatling and automating performance gates in CI/CD pipelines.
  • Experience building mock or stub infrastructure for integration testing at scale, including containerized services and API mocking.
  • Deep CI/CD experience with tools such as CircleCI or GitHub Actions, including caching, parallelism, artifact management, reliability, and observability.
  • Experience with release strategies such as canary or blue-green deployments, automated rollbacks, and progressive delivery.
  • Observability experience with Datadog and OpenTelemetry, including defining SLIs/SLOs and connecting them to delivery decisions.

Benefits

  • Remote position based in Canada.
  • Full-time employment.
  • Opportunity to work on a high-growth Series C company backed by top investors.
  • Work on AI-assisted infrastructure and developer tooling at meaningful scale.
  • Exposure to modern cloud and delivery tooling across AWS, EKS, Terraform, Argo CD, and CI/CD systems.

Interested in this position?

Apply directly on the company website

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