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◆ 9/10
aitechOtherhybrid
About this role
Join Scale AI as a Senior Cloud Infrastructure Engineer to manage and optimize AWS infrastructure for leading AI applications. Collaborate with top companies like OpenAI and Microsoft.
Description
Scale is powering this generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Our customers include OpenAI, Microsoft, Adept, Stability AI and many more major players in this space!
Responsibilities
You Will:
- Manage Infrastructure Lifecycle: Lead the end-to-end lifecycle of our AWS infrastructure, including routine patching, version upgrades, and system maintenance to ensure high availability.
- Vulnerability Management: Work closely with the Security Team to identify, prioritize, and remediate vulnerabilities across our cloud footprint.
- AWS Optimization: Continuously monitor and optimize AWS resource utilization for performance, reliability, and cost-efficiency.
- Automate Operations: Use scripting and automation tools to streamline repetitive operational tasks such as fleet-wide patching and configuration audits.
- Incident Response & Troubleshooting: Provide technical expertise for troubleshooting infrastructure-level issues and participate in operational health reviews.
- Security Compliance: Build and maintain systems that adhere to strict security standards, ensuring our environment remains compliant through response and proactive mitigations.
Requirements
Qualifications:
- Extensive AWS Experience: 6+ years of experience with core AWS services (EC2, VPC, IAM, S3, RDS, EKS) and experience managing multi-account environments.
- Patching & Upgrades: Proven track record of managing large-scale patching programs and performing major version upgrades for OS and middleware with minimal downtime.
- Operational Tooling: Proficiency with AWS Systems Manager (SSM), Terraform, Atlantis, and Kubernetes for configuration management and automation.
- Scripting: Familiarity with writing functional scripts (Bash, Python, etc.) to automate operational workflows - focused on system management rather than application development.
- Security Focus: Experience with vulnerability scanning tools and a strong understanding of how to harden cloud infrastructure against common threats.
- Monitoring & Metrics: Experience using Datadog, CloudWatch, or similar tools to monitor system health and drive optimization efforts.
- Multi Cloud Experience: Experience with Azure, Google Cloud Platform is a bonus.
Conditions & Benefits
Compensation:
- Compensation packages at Scale for eligible roles include base salary, equity, and benefits.
- The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $143,000 — $178,000 USD.
- Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.
- This role may be eligible for additional benefits such as a commuter stipend.
Job Details
Salary$143,000–$178,000
LocationHybrid
AI Score★★★★★★★★★☆ 9/10
PostedSep 24, 2026 (18d ago)
Tags & Skills
aitechOtherhybrid
Tech Stack
AWSTerraformKubernetesBashPythonDatadogCloudWatch