Staff Infrastructure Software Engineer, Enterprise AI
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Job Location:
San Francisco, CA - USA
Monthly Salary:
$ 216200 - 310500
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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 Youll 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 Were 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 determined by work location and additional factors including job-related skills experience 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. Youll 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 postings 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:
$216200 - $310500 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 worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds 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 Cisco DLA Piper 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 Please see the United States Department of Labors Know Your Rights poster for additional information.
We comply with the United States Department of Labors 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 for additional information.
Required Experience:
Staff IC
About Company
Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more.
