[Remote] Senior Infrastructure Engineer - AI/ML at OpenTeams

Miramar, Florida, United States

OpenTeams Logo
Not SpecifiedCompensation
N/AExperience Level
N/AJob Type
Not SpecifiedVisa
N/AIndustries

Requirements

  • 4+ years of hands-on infrastructure/platform/DevOps experience with production systems
  • Strong understanding of infrastructure engineering principles: scalability, reliability, observability, and automation
  • Solid experience with Kubernetes in production environments, including troubleshooting and optimization
  • Proficiency with Infrastructure-as-Code tooling (Terraform, Helm, or similar) for managing complex deployments
  • Experience with at least one major cloud platform (AWS, Azure, GCP) including networking, security, and compute services
  • Strong programming skills, particularly in Python and/or Go, with ability to write maintainable infrastructure code
  • Experience contributing to technical initiatives or mentoring junior team members
  • Understanding of CI/CD practices, GitOps workflows, and infrastructure automation principles
  • Comfortable working independently and in distributed teams
  • Ability to provide and constructively receive feedback
  • Available for collaboration during overlap with US Central Time zone

Responsibilities

  • Significantly contribute to the evolution of Nebari (https://nebari.dev) and design reusable, modular infrastructure components that can be composed into bespoke Kubernetes-based platforms for sovereign AI deployments
  • Develop composable MLOps components and infrastructure patterns supporting model training, serving, monitoring, and CI/CD pipelines that organizations can own and operate
  • Design and implement observability, monitoring, and cost optimization strategies for large-scale AI/ML workloads on client-owned Kubernetes infrastructure
  • Collaborate with ML engineers to optimize infrastructure for training ML models, quantizing and packaging open weight LLMs, computer vision workloads, and other AI applications in sovereign environments
  • Contribute to open-source MLOps tooling and Kubernetes ecosystem projects that enable data sovereignty
  • Work with clients to deploy, configure, and optimize their sovereign AI infrastructure
  • Collaborate with a fully remote distributed team using asynchronous communication methods

Skills

OpenTeams

Open source support and consulting services

About OpenTeams

OpenTeams provides support and services for open source technologies, specializing in over 680 different tools. Their offerings include strategy and consulting, custom development, integration, migration, and round-the-clock support. The company caters to a wide range of industries, including Machine Learning Operations, Cloud Optimization, Data Science, and High-Performance Systems. OpenTeams differentiates itself by focusing on tailored solutions that address specific client challenges, ensuring effective use of open source technologies. The goal of OpenTeams is to empower clients to create high-quality software with reliable open source support.

Austin, TexasHeadquarters
2019Year Founded
$3MTotal Funding
DEBTCompany Stage
Consulting, Enterprise Software, AI & Machine LearningIndustries
11-50Employees

Risks

Increased competition may dilute OpenTeams' market share.
Rapid AI evolution may outpace OpenTeams' support capabilities.
Economic downturns could impact OpenTeams' financing and client contracts.

Differentiation

OpenTeams specializes in over 680 open source technologies, offering diverse services.
The company connects open source contributors with organizations for funding opportunities.
OpenTeams provides 24/7 support through a network of Open Source Architects.

Upsides

Growing demand for open source support services boosts OpenTeams' market potential.
Interest in AI and machine learning increases demand for OpenTeams' specialized tools.
Digital transformation trends enhance investment in OpenTeams' data science expertise.

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