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Software Engineer - Infrastruture - San Francisco California
Company: AI Fund Location: San Francisco, California
Posted On: 02/07/2025
ABOUT BASETENWe're a growing team of builders backed by top-tier investors, including , , , and at . ML teams at enterprises and category-defining AI-native companies like , , , , and use Baseten to power their core production workloads with best-in-class performance, security, and reliability. While we've unlocked PMF and secured , the ML infrastructure market is massive, and we're just getting started. If you're excited to work on engaging and relevant problems while building something new from the ground up, come join us!THE ROLEAs a software engineer with an affinity towards infrastructure at Baseten, you will set the direction for-and help build-the upcoming versions of Baseten's cloud infrastructure, which is the backbone of Baseten and what our users rely on when building machine learning-powered applications. RESPONSIBILITIES: - Develop and maintain software systems using one or more general-purpose programming languages, such as Python, Ruby, or Go.
- Manage Kubernetes clusters in production settings, ensuring stability and scalability.
- Understand and address security, observability, SLA, and scalability implications, while avoiding premature optimization.
- Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution.
- Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.
- Mentor and potentially lead a team, fostering growth and sharing knowledge.
- Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
- Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.REQUIREMENTS:
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
- 3+ years of work professional work experience in a fast-paced, high-growth environment.
- Experience with one or more general-purpose programming languages, including Python, Ruby, or Go.
- Experience in managing Kubernetes clusters in production environments.
- Strong understanding of security, observability, SLA, and scalability considerations.
- Experience supporting machine learning teams or building ML Ops platforms is a plus, as well as a strong interest in learning about machine learning.
- Interest in growing and leading a team is highly valued.BENEFITS:
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