Senior Software Engineer
Two Six TechnologiesSalary not specified
- Full Time
- Senior (5 to 8 years)
$150,000 – $200,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Infrastructure Software, DevOpsIndustries
Position Overview
- Location Type: Remote
- Job Type: FullTime
- Salary: $150K - $200K
Baseten is revolutionizing AI deployment with cutting-edge inference infrastructure. Backed by premier investors such as IVP, Spark Capital, Greylock, and Conviction, we're trusted by leading enterprises and AI-driven innovators—including Descript, Bland.ai, Patreon, Writer, and Robust Intelligence—to deliver top-tier performance, security, and reliability for their production workloads. With our recent $75 million Series C funding, we’re poised to accelerate our mission to make AI accessible across all products.
This role is for an early member of Baseten's Platform Team, focusing on building internal infrastructure to support the engineering organization. The goal is to enhance the productivity, collaboration, and quality of work across all engineering teams by providing exceptional tooling, efficient workflows, and robust development environments.
Responsibilities
- Create diverse tooling tailored to the needs of different engineering teams.
- Enhance monorepo capabilities and develop project templates for consistency and efficiency.
- Design and implement shared libraries focused on observability.
- Improve the speed, reliability, and comprehensiveness of our CI pipelines.
- Assist in designing and maintaining Terraform modules for infrastructure management.
- Provide innovative solutions to enhance visibility in continuous delivery (CD) processes.
- Actively support engineering teams, ensuring they have the resources and tools necessary to remain productive.
Requirements
- Strong-level proficiency in:
- Go and/or Python
- Experience with:
- Kubernetes/Docker tooling (e.g., Helm, Docker, Kubernetes)
- Managing and working with large monorepos
- Bonus Points for familiarity with:
- Bazel, Pants, Moon, Turborepo, etc.
- Advanced understanding of:
- CI/CD concepts
- Developer Tool Culture: Focus on best practices.
- Bonus Points: Personal experience developing open-source developer tools.
Application Instructions
- Apply Now to embark on a rewarding journey in shaping the future of AI!
Company Information
- About Baseten: Baseten is revolutionizing AI deployment with cutting-edge inference infrastructure. Backed by premier investors such as IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading enterprises and AI-driven innovators—including Descript, Bland.ai, Patreon, Writer, and Robust Intelligence—to deliver top-tier performance, security, and reliability for their production workloads. With our recent $75 million Series C funding, we’re poised to accelerate our mission to make AI accessible across all products.
Benefits
- Competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums)
- A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era
- An inclusive and supportive work culture that fosters learning and growth
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities
Skills
Go
Python
Kubernetes
Docker
Helm
Managing large monorepos
Bazel
Pants
Moon
Turborepo
CI/CD
Infrastructure as Code
Terraform
Baseten
Platform for deploying and managing ML models
About Baseten
Baseten provides a platform for deploying and managing machine learning (ML) models, aimed at simplifying the process for businesses. Users can select from a library of open-source foundation models and deploy them with just two clicks, making it easier to implement ML solutions. The platform features autoscaling, which adjusts resources based on demand, and comprehensive monitoring tools for tracking performance and troubleshooting. A key differentiator is Baseten's open-source model packaging framework, Truss, which allows users to package and deploy custom models easily. The company operates on a usage-based pricing model, where clients pay only for the time their models are actively deployed, helping them manage costs effectively.
San Francisco, CaliforniaHeadquarters
2019Year Founded
$58.4MTotal Funding
SERIES_BCompany Stage
AI & Machine LearningIndustries
51-200Employees