Senior DevOps, Platform Engineer Moon · Glendale · DevOps & Release $145,118–$190,000 e 5mo ago

Devopsroles

Glendale (AZ)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Moon is seeking a dedicated platform ownership role for DevOps and infrastructure across multi-cloud SaaS products. You will be the single point of accountability for pipelines, credentials, deployment reliability, cost governance, and compliance, driving AI-enhanced tooling to improve workflows.

You will own the complete infrastructure, partner with engineering teams, and oversee cross-cloud deployment pipelines, security, and financial controls to sustain high uptime and audit readiness.

Qualifications

  • Experience with major cloud providers across multi-cloud environments.
  • Terraform or similar IaC tooling.
  • CI/CD pipeline design and ownership.
  • Go-based infrastructure tooling and Linux scripting.

Responsibilities

  • Own CI/CD pipelines across every application with standard, documented practices.
  • Manage multi-cloud provisioning with Terraform and ensure reproducibility.
  • Own secrets, credentials, and access management across environments.
  • Define and maintain the observability stack and real-time dashboards.
  • Own SLA commitments and on-call rotations; drive incident response.
  • Develop FinOps dashboards and cloud cost governance processes.

Skills

Multi-cloud experience
CI/CD pipelines
Go programming
Linux shell scripting
Cloud providers

Tools

Terraform
Kubernetes
CI/CD tools

Job description

About Moon

Moon’s mission is to reinvent the home improvement experience end to end. From AI-driven marketing and in-home 3D design to sales, service, and operations, Moon unifies the entire customer and business journey on a single platform — supercharged by Luna, our proprietary AI engine. Where most operators stitch together disconnected tools that don't understand the homeowner, we're building the unified operating system the industry has never had. We're a rapidly growing team of committed builders, driven to reimagine how this industry sells, designs, and delivers — and to power the next generation of operators, from single-location dealers to national franchise networks.

Moon is an ambitious company reinventing the home improvement experience. We have the unique opportunity to work with market leading customers such as Closet World, Closets by Design, Closet Dimensions, and Brio Water. We build for the home improvement industry from within it.

Role Overview

This is a dedicated platform ownership role. You will take full end-to-end responsibility for the

DevOps and infrastructure layer across all products. You will be the single point of accountability

for pipelines, environments, credentials, deployment reliability, financial cost governance, and

compliance posture. Beyond keeping the lights on, you will proactively leverage AI-driven tooling to

improve DevOps workflows and continuously raise the bar on what reliable infrastructure means.

About the role

You will own the complete infrastructure and DevOps layer for a growing SaaS company

running across multi-cloud infrastructure across major cloud providers — partnering directly

with the Lead Engineer and a distributed offshore engineering team. This is not a support role.

You are the primary point of accountability for pipeline reliability, credential hygiene,

observability, cloud cost governance, and compliance posture. You also serve as the company’s

infrastructure voice in financial and compliance conversations, owning the data that informs

leadership decisions on cloud investment and risk.

What you'll do
  • Own all CI/CD pipelines across every application — consistent, documented, and not
  • dependent on tribal knowledge
  • Manage multi-cloud resource provisioning with Terraform or equivalent IaC tooling — version-
  • controlled and fully reproducible
  • Own secrets, credentials, and access management across all environments using enterprise
  • secrets management platforms
  • Set up repo creation, branching standards, and tooling for the distributed engineering team
  • Own cross-platform mobile application build pipelines (iOS and Android) for both app stores
  • Support the work, deployment, and maintenance of our active-active multi-cloud platform
  • Own SLA commitments for all production systems — 99.99% uptime target with documented
  • contracts and breach escalation paths
  • Define and maintain on-call rotation, and incident severity matrix
  • Maintain and evolve runbooks for all critical failure scenarios — executable by anyone on the
  • team, not just the author
  • Implement and operate the full observability stack: enterprise observability tooling, centralized
  • log aggregation, real-time alerting, and synthetic monitoring for all customer-critical paths
  • Own customer-facing and internal system health dashboards — surfacing uptime, error rates,
  • latency, and throughput in real time
  • Build and maintain FinOps dashboards surfacing cloud spend, resource utilization, and cost-per-
  • environment breakdowns
  • Implement financial controls: budget alerts, tagging enforcement, reserved instance planning,
  • and rightsizing across major cloud providers
  • Own the monthly cloud cost review process — flag anomalies, model savings scenarios, and
  • present findings to leadership
  • Track and report FinOps KPIs: cloud cost as a percentage of revenue, waste percentage, and
  • savings realized
  • Own the infrastructure contribution to SOC 2 Type II and ISO 27001 — evidence collection,
  • control mapping, and audit readiness at all times
  • Conduct regular access reviews and enforce least-privilege IAM across all cloud environments
  • Work directly with the compliance team to respond to auditor requests, close findings, and
  • maintain continuous compliance posture
  • Implement and monitor infrastructure security controls: network segmentation, encryption at
  • rest and in transit, vulnerability scanning, and drift detection
  • Identify DevOps workflows where AI tooling can drive measurable efficiency gains — pipeline
  • generation, intelligent incident detection, and automated runbook execution
  • Evaluate and pilot AI-assisted tools for infrastructure: anomaly detection on metrics streams,
  • LLM-assisted root cause analysis, and AI-generated IaC scaffolding
  • Document and share findings with the engineering team — serve as the infrastructure voice in
  • the company’s AI-first engineering culture
Qualifications
  • Hands-on experience with major cloud providers across multi-cloud environments —
  • provisioning, networking, IAM, and cost management
  • Terraform or equivalent IaC tooling — you write it, maintain it, and own it
  • CI/CD pipeline design and ownership using modern CI/CD platforms — you design it, maintain
  • it, and own it
  • Confident with .NET / C# application deployments
  • Secrets and credential management at scale using enterprise secrets management platforms
  • Multi-app, multi-environment deployment pipelines with consistent standards
  • Mobile build pipeline ownership for cross-platform mobile applications (iOS and Android),
  • including app store deployment automation
  • Production observability engineering: APM tooling, log aggregation, alerting pipelines, and
  • synthetic monitoring
  • SLA ownership experience — on-call processes, incident management, and runbook authorship
  • Demonstrated experience with FinOps practices: cloud cost dashboards, tagging, rightsizing,
  • and budget governance
  • Familiarity with SOC 2 or ISO 27001 control environments — evidence collection, access
  • reviews, and audit support
  • Comfortable working directly with a distributed offshore engineering team
  • Hands-on experience designing or operating active-active, multi-cloud production
  • environments — this is a core platform requirement, not a stretch goal
  • Proficiency in Go for infrastructure tooling, automation, and custom operators/controllers
  • Strong Linux shell scripting (bash/sh) for automation, system administration, and pipeline
  • scripting
Nice to have
  • Exposure to AI-assisted DevOps tooling — anomaly detection, LLM-assisted incident response,
  • or AI-generated IaC
  • SaaS product background, ideally in a multi-tenant environment
  • Experience with FinOps tooling: Azure and AWS Cost management features
  • AWS Certified DevOps Engineer – Professional, Microsoft Certified: DevOps Engineer Expert,
  • and Certified Kubernetes Administrator (CKA)
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