Remote Staff DevOps Engineer Developer Infrastructure - CANADA (Remote)

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 on track to hit $100M in annual recurring revenue in the next six months. More than 87,000 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 Role

We're hiring a Staff DevOps Engineer to build the infrastructure that powers our next-generation development pipeline: the environments, quality gates, and internal tooling that enable both engineers and AI agents to ship validated, production-ready code with high confidence.

This person will shape and work on pre-production environment infrastructure, automated quality gates (including load testing and performance validation), agent-friendly local development environments, and internal tools that make the pipeline observable and operable. You'll work across EKS, core AWS services, and our CI/CD stack to create infrastructure that proves code is correct.

This role sits at the intersection of platform engineering and developer tooling. Tools like Claude Code are part of the daily workflow for infrastructure operations, debugging, and automation. You'll collaborate closely with architects and product teams to reduce the friction of validating work, expand automated gate coverage, and build the internal tools that let us operate our pipelines at increasing scale and autonomy.

What You’ll Do

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  Agent and developer environment infrastructure: 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.
  
  

  
  


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  Pre-production quality gates: 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).
  
  

  
  


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  Pre-PR validation infrastructure: 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.
  
  

  
  


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  Internal tooling and dashboards: 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.

  
  

What We’re Looking For

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  6–10+ years in DevOps, Platform Engineering, or SRE roles building and operating production systems at scale.
  
  

  
  


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  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.
  
  

  
  


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  Expertise with Kubernetes (EKS) and AWS (IAM, VPC, ECR, SSM/Secrets Manager, S3, SQS, Lambda, RDS/Aurora).
  
  

  
  


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  Strong IaC experience (Terraform preferred) and GitOps workflows (Argo CD or similar).
  
  

  
  


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  Proven track record building ephemeral environments, developer tooling, or internal platforms (CLIs, scaffolding tools, developer portals).
  
  

  
  


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  Experience with load testing frameworks (k6, Locust, Gatling, or similar) and automating performance gates in CI/CD pipelines.
  
  

  
  


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  Examples of building mock or stub infrastructure for integration testing at scale — containerized services, API mocking, dependency isolation.
  
  

  
  


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  CI/CD depth (CircleCI, GitHub Actions, or similar) including caching/parallelism, artifact management, test reliability, and pipeline observability.
  
  

  
  


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  Experience with release strategies (canary/blue-green, automated rollbacks) and progressive delivery.
  
  

  
  


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  Observability fundamentals (Datadog, OpenTelemetry) with the ability to define SLIs/SLOs and wire them to delivery decisions.
  
  

  
  


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  Excellent cross-team communicator who can translate platform constraints into developer-friendly solutions and documentation.

  
  

Tech Stack

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  Infrastructure: AWS, EKS, Terraform, ArgoCD, Docker, Vault

  
  


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  CI/CD: CircleCI, ArgoCD (GitOps), Github Actions

  
  


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  Messaging: Kafka (Confluent Cloud)

  
  


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  Observability: Datadog, OpenTelemetry

  
  


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

  
  

How You’ll Succeed Here

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  You think about infrastructure as a product — you talk to the engineers using your tools, measure adoption, and iterate based on what you learn.
  
  

  
  


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  You're energized by building systems that multiply other people's output, not just keeping the lights on.
  
  

  
  


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  You bias toward automation, reproducibility, and measurable outcomes. If a human is doing it repeatedly, you build a gate or a tool.
  
  

  
  


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  You operate with high ownership across team boundaries: Infrastructure, DevEx, QA, and product engineering are all your collaborators.
  
  

  
  


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  You use AI tools to move faster without sacrificing rigor. You know when to trust the output and when to verify, and you help the team develop better patterns for AI-assisted infrastructure work.

  
  

Join us in shaping the future of real estate
The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages.
We're a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition.
Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We're backed by world-class investors, including Bessemer Venture Partners, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date.
More than 18,000 real estate businesses rely on our platform, including 30% of the Wall Street Journal RealTrends top agents and teams. Additionally, many of the industry's most powerful brokerages rely on Luxury Presence as a trusted business partner.
Every year since 2020, Luxury Presence has ranked on BuiltIn's Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we've received several Tech100 Awards, and we just scored an Inman Innovation Award for Best AI-Powered Platform.
Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.