Staff Infrastructure Software Engineer, Enterprise AI

· Remote

Location

Remote

Type

Full Time

Job Description

Scale AIJobs
Staff Infrastructure Software Engineer Enterprise AI

Staff Infrastructure Software Engineer Enterprise AI

Reposted 12 Hours Ago
2 Locations
In-Office
252K-315K Annually
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
The Senior Infrastructure Software Engineer will architect and scale multi-cloud infrastructure focusing on compliance observability and developer efficiency for enterprise AI deployments.
Summary Generated by Built In
Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior or Staff Infrastructure Engineer to act as a primary technical lead engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you’ll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure ensuring our platform remains the most reliable destination for enterprise agents

The ideal candidate thrives in a fast-paced environment has a passion for both deep technical work and mentoring and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP Azure AWS) for customers in diverse highly-regulated industries like healthcare telecom finance and retail.

What You’ll Do:

  • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers.
  • Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement.
  • Define the architectural patterns for our multi-cloud infrastructure to support secure reliable and scalable Agentic workflows for enterprise customers.
  • Enhance engineering and infrastructure efficiency reliability accuracy and response times including CI/CD processes test frameworks data quality assurance end-to-end reconciliation and anomaly detection.
  • Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.
  • Design and champion highly scalable reliable and low-latency infrastructure and frameworks for building orchestrating and evaluating multi-agent systems at enterprise scale.
  • Lead the infrastructure roadmap with a strong focus on compliance privacy and security standards including designing change management and data isolation strategies.
  • Own the development and maintenance of our best-in-class Agentic observability platform (logging metrics tracing and analytics) to proactively ensure system health and enable rapid incident response.
  • Drive developer efficiency by building automated tooling and championing Infrastructure-as-Code (IaC) paradigms throughout the engineering organization to improve workflows and operational efficiency.

What We're Looking For:

  • Proven experience in a senior role with 5+ years of full-time software engineering experience.
  • Deep understanding of modern infrastructure practices including CI/CD IaC (e.g. Terraform Helm Charts) container orchestration (e.g. Kubernetes) and observability platforms (e.g. Datadog Prometheus Grafana).
  • Extensive experience with at least one major cloud provider (AWS Azure or GCP).
  • Strong knowledge of security and compliance in enterprise environments with a focus on access management data isolation and customer-specific VPC setups.
  • Proficiency in Python or JavaScript/TypeScript and SQL.
  • Bonus points: Hands-on experience and a passion for working with Agents LLMs vector databases and other emerging AI technologies.

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 reference the job posting's subtitle for where this position will be located. For pay transparency purposes the base salary range for this full-time position in the locations of San Francisco New York Seattle is:
$252000$315000 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 [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

  • 5+ years of full-time software engineering experience
  • Deep understanding of modern infrastructure practices including CI/CD and IaC
  • Experience with at least one major cloud provider (AWS Azure GCP)
  • Knowledge of security and compliance in enterprise environments
  • Proficiency in Python or JavaScript/TypeScript and SQL

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.

  • Healthcare StrengthHealthcare coverage is described as comprehensive across medical dental and vision with flexibility to choose plans that fit individual or family needs. A monthly wellness stipend further supports physical and mental wellbeing expenses.
  • Equity Value & AccessibilityEquity-based compensation is included in eligible packages positioning ownership as a meaningful component of total rewards for many full-time roles. An employee stock purchase plan also provides an additional pathway to participate in potential upside.
  • Leave & Time Off BreadthPaid time off is positioned as generous with a flexible policy intended to support recharging and burnout prevention. Paid holidays and paid sick days are also part of the time-off offering.

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The Company
San Francisco CA
523 Employees
Year Founded: 2016

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.

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Date Posted

06/24/2026

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