Software Engineering Manager (Machine Learning Infrastructure)

A fast-growing Series B company in our portfolio is looking for a hands-on leader to head their infrastructure team. This team plays a critical role in their machine learning platform, designing, developing, and optimizing core systems. This position is perfect for an infrastructure engineering expert with a solid technical background who thrives in mentoring and leading teams.

About the Company

:
They're developing the most efficient, scalable, and reliable solution for running machine learning workloads—whether in their cloud or the customer

s.
In this role, you will have the opportunity

• to:
  Lead, manage, and mentor the infrastructure engineering team responsible for building the backbone of the ML platf
• orm.Define and execute the technical strategy for infrastructure, ensuring performance, security, and scalability of key syst
• ems.Collaborate with ML teams and cross-functional stakeholders to ensure seamless integration of models into production environme
• nts.Design and implement scalable solutions, including CI/CD pipelines, container orchestration, and cloud infrastructure (AWS, GCP, et
• c.).Optimize system performance by identifying and addressing infrastructure bottlene
• cks.Own end-to-end project management for infrastructure initiatives, from planning to execution and ongoing maintena
• nce.Foster engineering best practices and a culture of continuous improvement within the t

eam.
Qualificat

• ions:
  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 sy
• stems.Solid understanding of networking, security, and high-availability infrastructure d
• esign.Experience managing and scaling infrastructure for machine learning or similar high-performance work
• loads.Proven track record of leading teams and delivering large-scale, production-level infrastructure solu
• tions.Excellent problem-solving skills and the ability to drive technical projects from idea to compl

etion.
BONUS

• POINTS:
  Experience optimizing infrastructure for machine learning workloads, including GPU utilization and distributed co
• mputing.Familiarity with multi-cloud strategies and hybrid cloud depl
• oyments.Deep understanding of security best practices in cloud-native envir
• onments.Previous experience in a fast-paced startup environment, particularly in M

L or AI.

Logistical

Questi ons:
Sta

ge: Seri es BLocation: New

York/Hybri dReports to:

CTO/Found erTeam Si