Sanas

Sanas

Staff+ Production Engineer

Palo Alto, CA · Staff+

Sponsorship not specifiedDetected 25 days ago
PythonRustDistributed SystemsAWSGCPAzureCloud PlatformsTerraformPrometheusGrafanaDatadogMachine LearningIncident ResponseRoadmappingSystems EngineeringCommunication

About the role

  • This role involves architecting and delivering deployment infrastructure across public and corporate private clouds (AWS, Azure, and GCP).
  • Standardize and orchestrate world-class on-call documentation, incident response processes, and post-mortem procedures.

Responsibilities

  • Job Description Design and implement mission-critical, multi-region deployment infrastructure on AWS to ensure exceptional scalability and fault tolerance.
  • Drive developer velocity by engineering and maintaining rapid, high-confidence development, testing, and staging deployment workflows.
  • Establish and maintain a cohesive, state-of-the-art telemetry, monitoring, and alerting ecosystem to achieve deep operational observability and industry-leading system uptime.
  • Our team combines deep expertise in model innovation and systems engineering with a design-minded product engineering culture to build and ship cutting-edge AI models and experiences - entirely in-house.
  • Our innovation has been supported by the industry's leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors.
  • About the Role We are seeking a Production Engineer to take complete, end-to-end ownership of the infrastructure that builds, deploys, and operates our high-scale, real-time speech AI platform globally.

Requirements

  • Possess strong "engineering taste" and the ability to define, champion, and enforce a high-quality bar for operational excellence and site reliability across the entire organization.
  • Deep experience with GPU performance tuning, resource orchestration, and scaling for AI/ML workloads.
  • Familiarity with the unique challenges of real-time, low-latency systems, particularly conversational speech or streaming services, aligning with Sanas's core voice pipelines.

Skills

  • Proven mastery of infrastructure-as-code and containerization technologies, specifically Terraform and Docker.

Company info

  • We are seeking a Production Engineer to take complete, end-to-end ownership of the infrastructure that builds, deploys, and operates our high-scale, real-time speech AI platform globally.

This listing is sourced directly from Sanas's careers page and normalized into a canonical job model.