Senior Cloud Infrastructure Engineer

Scale AI, Inc.; New York (NY); On-site; USD 143,000 - 178,000; Full time

Benefits offered by this job

Health, dental & vision coverage

Retirement benefits

Learning & development stipend

Generous PTO

Commuter stipend

Job summary

Scale AI, Inc. is seeking an experienced cloud infrastructure engineer to own the lifecycle of our AWS-based systems, drive vulnerability remediation, and optimize resource usage for performance and cost efficiency.

You will automate operations, assist in incident response, and ensure security compliance across multi-account environments. Strong scripting skills (Bash, Python) and hands-on experience with SSM, Terraform, Atlantis, Kubernetes, Datadog and CloudWatch are required.

Qualifications

• Extensive experience with core AWS services and multi-account environments.
• Proven track record in managing large-scale patching programs and major OS/middleware upgrades with minimal downtime.
• Proficiency with SSM, Terraform, Atlantis, and Kubernetes for configuration management and automation.
• Familiarity with Bash, Python or similar scripting to automate operational workflows.
• Experience with vulnerability scanning and hardening cloud infrastructure.
• Experience using Datadog, CloudWatch or similar tools for monitoring and optimization.

Responsibilities

• Manage end-to-end lifecycle of AWS infrastructure for high availability.
• Collaborate with Security Team for vulnerability identification and remediation.
• Continuously optimize AWS resources for performance, reliability and cost-efficiency.
• Automate repetitive operational tasks and fleet-wide patching.
• Provide incident response and troubleshooting for infrastructure issues.
• Build and maintain systems to meet strict security standards and compliance.

Skills

AWS

Patching & Upgrades

Operational Tooling

Scripting

Security Focus

Monitoring & Metrics

Multi-Cloud Experience

Tools

AWS Systems Manager (SSM)

Terraform

Atlantis

Kubernetes

Datadog

CloudWatch

Job 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.

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.

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.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $143,000 - $178,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [e-mail]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

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