Tech Lead Manager

1 day ago

San Francisco, California, United States Baseten Full time
About Baseten

We're a rapidly growing team of innovators backed by top-tier investors, including IVP, Spark Capital, Greylock, and Sarah Guo at Conviction.

Our mission is to empower ML teams at enterprises and category-defining AI-native companies to power their core production workloads with best-in-class performance, security, and reliability.

We've achieved product-market fit and secured Series B funding, but the ML infrastructure market is vast, and we're just getting started.

The Role

We're seeking a seasoned Tech Lead Manager - Infrastructure to lead our infrastructure team in designing, developing, and optimizing the core systems that support our ML platform.

This is an ideal role for someone with a deep technical background in infrastructure engineering who enjoys mentoring and leading a team.

If you're passionate about building robust, scalable infrastructure that powers cutting-edge machine learning applications, we'd love to meet you.

Responsibilities:
  1. Lead, manage, and mentor the infrastructure engineering team responsible for building the backbone of Baseten's ML platform.
  2. Define and drive the technical strategy for infrastructure, ensuring performance, security, and scalability of core systems.
  3. Collaborate closely with ML teams and cross-functional stakeholders to ensure smooth integration of models into production environments.
  4. Design and implement scalable infrastructure solutions, including CI/CD pipelines, container orchestration, and cloud infrastructure (AWS, GCP, etc.).
  5. Dive deep into performance optimization of our systems, identifying and addressing bottlenecks to improve overall infrastructure efficiency.
  6. Own end-to-end project management for infrastructure initiatives, from planning and execution to monitoring and maintenance.
  7. Promote engineering best practices and a culture of continuous improvement within the team.
Requirements:
  1. Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or related field.
  2. 5+ years of professional experience in infrastructure or software engineering, with at least 2 years in a technical leadership role.
  3. Expertise in infrastructure design, including containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, GCP).
  4. Strong experience with CI/CD pipelines, infrastructure as code (Terraform, Ansible), and monitoring systems.
  5. Solid understanding of networking, security, and high-availability infrastructure design.
  6. Experience managing and scaling infrastructure for machine learning or similar high-performance workloads.
  7. Proven track record of leading teams and delivering large-scale, production-level infrastructure solutions.
  8. Excellent problem-solving skills and the ability to drive technical projects from idea to completion.
Bonus Points:
  1. Experience with optimizing infrastructure for machine learning workloads, including GPU utilization and distributed computing.
  2. Familiarity with multi-cloud strategies and hybrid cloud deployments.
  3. Deep understanding of security best practices in cloud-native environments.
  4. Previous experience in a fast-paced startup environment, particularly in the ML or AI space.
Benefits:

We offer a competitive compensation package, including unlimited PTO, 401k, and covered healthcare premiums.

Join our team and lead a talented infrastructure team in one of the most exciting engineering fields.

Enjoy an inclusive and supportive work culture that fosters growth and continuous learning.

Collaborate with top-tier ML teams and organizations and stay at the forefront of cutting-edge ML infrastructure technologies.

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