
Director of Infrastructure Engineering for Multi‑Cloud Platform
Listing checked September 4, 2026 · pay as published by Micro1
Overview
The role leads the architecture and evolution of a multi-cloud platform spanning AWS and GCP to support production AI systems. You will own the cloud strategy, developer experience, and reliability practices, ensuring security, observability, and resilience as the team grows. This is a hands-on leadership position that blends long‑term infrastructure planning with incident resolution and mentoring engineers. You’ll drive automation, platform tooling, and security-by-default across the organization, balancing speed with risk management.
What You'll Do8
- 1Own the multi-cloud infrastructure architecture for AWS and GCP, aligning it with scalability, reliability, security, and cost goals.
- 2Grow and coach a high‑performing Infrastructure/Platform Engineering team while fostering ownership and continuous improvement.
- 3Implement infrastructure as code with Terraform or equivalents to ensure reproducible, versioned, auditable environments.
- 4Build and evolve CI/CD pipelines to enable rapid, secure software delivery.
- 5Develop comprehensive observability using metrics, logs, traces, and alerts to detect and resolve production issues.
- 6Define reliability practices including incident response, on‑call handling, SLOs, error budgets, disaster recovery, and blameless postmortems.
- 7Collaborate with Security and Engineering leadership to embed security by default and maintain compliance with ISO 27001, SOC 2, and CMMC where applicable.
- 8Improve developer experience by reducing operational friction through automation and platform tooling.
Requirements8
- 18+ years building and operating production infrastructure, platform engineering, DevOps, or SRE systems.
- 23+ years leading engineering teams in high-growth settings.
- 3Deep experience with AWS, GCP, or multi‑cloud production environments.
- 4Strong command of Terraform, Kubernetes, containers, and modern CI/CD platforms.
- 5Proven track record delivering highly available, observable, and resilient production systems.
- 6Solid understanding of infrastructure security, compliance, and risk management.
- 7Experience scaling engineering and infrastructure in fast-moving startup environments.
- 8Excellent communication skills and ability to influence technical strategy with engineering and executive stakeholders.
Who Should Apply
The ideal candidate brings 8+ years of hands-on infrastructure leadership and has guided teams through rapid growth. You should be comfortable shaping cloud strategy across AWS and GCP, building scalable platforms, and championing security and reliability. This role is less suitable for someone who lacks multi‑cloud experience, cannot lead a team, or cannot align security/compliance with engineering goals. Common fit hurdles include limited experience with Terraform or Kubernetes, or difficulty communicating strategy to both engineers and executives.
Salary Insight
The posting lists a base pay range of 230,000–260,000 annually. Equity, bonuses, and remote-friendly benefits are available, with pay discussed during offers.
Pay and demand for Data Engineering roles
AggregatedTypical pay
$80/hour
This role
$350K–500K ≈ $175–$250/hr
Most Data Engineering roles pay $55–$100 per hour. This role's pay sits above that range.
Based on 566 similar roles that publish pay · 102 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 698
- Listed in last 30 days
- 320
- Remote
- 93%
Hiring most right now: micro1 (264) · Mercor (89) · AfterQuery (79)
Most requested skills · share of roles
- python19%
- technical writing11%
- ai evaluation7%
- llm evaluation7%
Figures from Data Engineering roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
$350K–500K
Required Skills
Application Tip
Highlight Terraform, Kubernetes, and multi-cloud experience with concrete outcomes, such as reduced deployment time by a measurable percentage and improved SLO adherence to demonstrate reliability impact.
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