Senior DevOps, Platform Engineer

Dream Big. Build Fast

  • Glendale, Arizona
  • 30+ days ago

    Highlights

    Implement financial controls: budget alerts, tagging enforcement, reserved instance planning, and rightsizing across major cloud providers. Evaluate and pilot AI-assisted tools for infrastructure: anomaly detection on metrics streams, LLM-assisted root cause analysis, and AI-generated IaC scaffolding.

    Numbers & Facts

    LocationGlendale, Arizona

    Description

    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

    CI/CD & Deployment

    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


    Observability & Uptime (SLA: 99.99%)

    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


    Financial Operations & Cost Governance

    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


    Security & Compliance (SOC 2 / ISO 27001)

    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


    AI-Driven Process Improvements

    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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