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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.
The Platform team is responsible for building the core abstractions and infrastructure on which the products can be built and iterated rapidly. We are looking for an Operations-focused AWS Engineer with deep experience in infrastructure management, lifecycle maintenance, and security hardening. We are looking for Ops specialists who thrive on optimizing, securing, and maintaining the health of large-scale AWS environments. You have a growth mindset and are comfortable learning new technologies.
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.
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 [email protected]. 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.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Skills Required
- 6+ years of experience with core AWS services, including EC2, VPC, IAM, S3, RDS, and EKS, plus multi-account environment management
- Experience managing large-scale patching programs and major OS and middleware version upgrades with minimal downtime
- Proficiency with AWS Systems Manager, Terraform, Atlantis, and Kubernetes
- Familiarity with Bash, Python, or similar scripting for operational automation
- Experience with vulnerability scanning tools and cloud infrastructure security hardening
- Experience with Datadog, CloudWatch, or similar monitoring and metrics tools
- Experience with Azure or Google Cloud Platform
Scale AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.
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Healthcare Strength — Company materials and third‑party pages describe comprehensive medical, dental, and vision coverage along with mental‑health services and an EAP. Health insurance is portrayed as strong, with options like HSA/FSA and indications of high premium coverage.
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Leave & Time Off Breadth — Descriptions highlight generous PTO, paid holidays and sick time, bereavement, volunteer time, and role‑dependent flexibility or remote options. This breadth is positioned as part of a supportive time‑off approach, with specifics varying by location.
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Equity Value & Accessibility — Full‑time offers commonly include equity and an ESPP, which can meaningfully lift total compensation, especially in engineering and senior roles. Job postings and compensation snapshots consistently reference base‑plus‑equity packages aligned with competitive AI market pay.
Scale AI Insights
What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
