Tech Lead Manager
4 weeks ago
We're a rapidly growing team of engineers and technologists backed by top-tier investors, including IVP, Spark Capital, Greylock, and Sarah Guo at Conviction.
Our mission is to empower machine learning teams at enterprises and category-defining AI-native companies like Descript, Patreon, Writer, and Robust Intelligence 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 massive, and we're just getting started.
If you're passionate about building robust, scalable infrastructure that powers cutting-edge machine learning applications, we'd love to meet you.
The Role
We're seeking a 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 excited about the challenges of scaling infrastructure for ML workloads in a fast-paced startup environment, we'd love to meet you.
Responsibilities:
- Lead, manage, and mentor the infrastructure engineering team responsible for building the backbone of Baseten's ML platform.
- Define and drive the technical strategy for infrastructure, ensuring performance, security, and scalability of core systems.
- Collaborate closely with ML teams and cross-functional stakeholders to ensure smooth integration of models into production environments.
- Design and implement scalable infrastructure solutions, including CI/CD pipelines, container orchestration, and cloud infrastructure (AWS, GCP, etc.).
- Dive deep into performance optimization of our systems, identifying and addressing bottlenecks to improve overall infrastructure efficiency.
- Own end-to-end project management for infrastructure initiatives, from planning and execution to monitoring and maintenance.
- Promote engineering best practices and a culture of continuous improvement within the team.
Requirements:
Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or related field.
5+ years of professional experience in infrastructure or software engineering, with at least 2 years in a technical leadership role.
Expertise in infrastructure design, including containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, GCP).
Strong experience with CI/CD pipelines, infrastructure as code (Terraform, Ansible), and monitoring systems.
Solid understanding of networking, security, and high-availability infrastructure design.
Experience managing and scaling infrastructure for machine learning or similar high-performance workloads.
Proven track record of leading teams and delivering large-scale, production-level infrastructure solutions.
Excellent problem-solving skills and the ability to drive technical projects from idea to completion.
Bonus Points:
Experience with optimizing infrastructure for machine learning workloads, including GPU utilization and distributed computing.
Familiarity with multi-cloud strategies and hybrid cloud deployments.
Deep understanding of security best practices in cloud-native environments.
Previous experience in a fast-paced startup environment, particularly in the ML or AI space.
Benefits:
Competitive compensation package (unlimited PTO, 401k, covered healthcare premiums).
Opportunity to lead a talented infrastructure team in one of the most exciting engineering fields.
An inclusive and supportive work culture that fosters growth and continuous learning.
Exposure to cutting-edge ML infrastructure technologies and collaboration with top-tier ML teams and organizations.
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