Sanas is pioneering the future of human communication. Founded by a team of Stanford researchers and entrepreneurs with deep industry experience, Sanas has developed the world's first real-time speech AI platform capable of accent translation, noise... Backed by General Catalyst, Insight and GV.
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. This role involves architecting and delivering deployment infrastructure across public and corporate private clouds (AWS, Azure, and GCP).
What they're looking for
- Design and implement mission-critical, multi-region deployment infrastructure on AWS to ensure exceptional scalability and fault tolerance
- Lead the architecture for deploying the platform into corporate private cloud environments across diverse architectures (AWS, Azure, GCP)
- 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
- Standardize and orchestrate world-class on-call documentation, incident response processes, and post-mortem procedures
- Proactively build robust self-service tools, systems, and comprehensive documentation that empowers engineering teams to manage and scale their own services
More about this role
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. This role involves architecting and delivering deployment infrastructure across public and corporate private clouds (AWS, Azure, and GCP). You will champion the entire production lifecycle, ensuring operational excellence across internal development workflows, deployment pipelines, world-class observability (telemetry, monitoring, alerting), and robust on-call systems for high availability and globally-distributed production environments.
Job Description
- Design and implement mission-critical, multi-region deployment infrastructure on AWS to ensure exceptional scalability and fault tolerance.
- Lead the architecture for deploying the platform into corporate private cloud environments across diverse architectures (AWS, Azure, GCP).
- 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...
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