Join to apply for the Backend Infrastructure Engineer role at Sesame
Join to apply for the Backend Infrastructure Engineer role at Sesame
This range is provided by Sesame. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$175,000.00/yr - $280,000.00/yr
About Sesame
Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice companions part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.
About The Role
As a Backend Infrastructure Engineer at Sesame, you will work across the stack, with an emphasis on backend, infrastructure, and systems. You should feel comfortable working on any typical software project, with the ability to quickly learn new tools and services with a strong intuition on software development and software deployment best practices.
Responsibilities
- Build a secure, maintainable, self-serve core infrastructure.
- Build a modern training architecture and a modern serving architecture.
- Build and scale a low-latency voice interface and audio processing pipeline.
- Build low maintenance, high leverage developer tooling, server, and data infrastructure.
- Ability to set, own, and communicate direction.
- Hands-on reliability engineering experience. You hold convictions about monitoring and observability methodology, deployment systems, loosely coupled components, etc.
- Experience shipping services at scale.
- Experienced systems designer in designing and shipping flexible domain models and APIs.
- A track record of delivering efficiency through automation.
- Experience solving challenging infrastructure problems (using the tools below).
- Significant IaC experience (Terraform preferred).
- CloudFormation, Pulumi, Kube-based, etc.
- Architected a multi-stack, self-serve Terraform system, or maintained one.
- Understand the challenges of building infrastructure at scale.
- Significant Kubernetes experience.
- Some ML experience.
- Torch experience, especially model optimization for serving.
- General ML training or serving experience.
- Built ML serving and/or training infrastructure.
- Experience in Torch Serve, Seldon, KServe, Ray Serve, etc.
- Experience building large-scale distributed training and serving systems.
- Data engineering experience.
- Technical leadership.
- Database design.
- Real-time communication experience.
Full-time Employee Benefits
- 401k matching
- 100% employer-paid health, vision, and dental benefits
- Unlimited PTO and sick time
- Flexible spending account matching (medical FSA)
Compensation Range: $175K - $280K
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Information TechnologyIndustries
Computers and Electronics Manufacturing
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