drjobs Senior Infrastructure Software Engineer, Enterprise AI

Senior Infrastructure Software Engineer, Enterprise AI

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1 Vacancy
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Job Location drjobs

San Francisco, CA - USA

Monthly Salary drjobs

$ 188000 - 235000

Vacancy

1 Vacancy

Job Description

Scale GP is building the next generation of enterprise-grade Generative AI products. Our platform provides APIs for knowledge retrieval inference and evaluation enabling customers to build and deploy powerfulAgentic workflowsfor Enterprise use cases. Were looking for aSenior Infrastructure Software Engineerto build and scale our core infrastructure in a fast-paced environment. This team is key to our mission directly enabling the deployment of these agentic flows for our is a unique opportunity for an infrastructure leader who is passionate about defining the future of AI deployments. You will be at the forefront of the industry solving complex bleeding-edge problems in scalability security and developer efficiency. 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:
  • Define the architectural patternsfor our multi-cloud infrastructure to support secure reliable and scalable Agentic workflows for enterprise customers.
  • Lead the infrastructure roadmapwith a strong focus on compliance privacy and security standards including designing change management and data isolation strategies.
  • Own the development and maintenanceof our best-in-class Agentic observability platform (logging metrics tracing and analytics) to proactively ensure system health and enable rapid incident response.
  • Drive developer efficiencyby building automated tooling and championing Infrastructure-as-Code (IaC) paradigms throughout the engineering organization.
  • Solve the toughest engineering problemsrelated to multi-tenancy data isolation and high-performance inference at a massive scale taking end-to-end ownership across the full product lifecycle.
What Were Looking For:
  • Proven experiencein a senior role with5 yearsof 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 compliancein 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:

$188000 - $235000 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 we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry and our team is transforming how organizations build and deploy AI. Our products power the worlds most advanced LLMs generative models and computer vision models. We are trusted by generative AI companies such as OpenAI Meta and Microsoft government agencies like the U.S. Army and U.S. Air Force and enterprises including GM and Accenture. 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:

Senior IC

Employment Type

Full Time

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