Senior DevOps Engineer

Job Posted 9 Days Ago Posted 9 Days Ago
4 Locations
Remote
Senior level
Artificial Intelligence • Information Technology • Software
The Role
As a Senior DevOps Engineer, you'll set up and maintain CI/CD pipelines, manage cloud infrastructure, and collaborate with teams to ensure a scalable and secure systems deployment.
Summary Generated by Built In

Description
About YeagerAI

YeagerAI is a pioneering AI research lab dedicated to revolutionizing the way humans and artificial intelligence interact. We are operating at the intersection of blockchain technology and AI to build GenLayer, a groundbreaking blockchain that integrates AI in its consensus algorithm to create smart contracts that are intelligent and capable of connecting to the internet. With GenLayer, developers can build decentralized applications that leverage the power of AI to automate complex processes, make smart decisions, and interact with the real world in ways that were previously impossible.


Position Overview

We are looking for a Senior DevOps Engineer to lead the setup and maintenance of our CI/CD pipelines, automation tools, and infrastructure required for the development, testing, and deployment of the custom Python interpreter and its associated blockchain functionalities. Your expertise will be crucial in ensuring the performance, security, and scalability of our infrastructure.


Key Responsibilities

  • Set up and maintain CI/CD pipelines using tools like Jenkins and GitLab CI.
  • Implement and manage containerization using Docker and Kubernetes.
  • Manage cloud services and infrastructure on AWS, Azure, or GCP.
  • Use infrastructure as code tools such as Terraform and Ansible for automation.
  • Ensure the infrastructure is robust, scalable, and secure.
  • Collaborate with the development and research teams to streamline the deployment process.
  • Write comprehensive documentation for infrastructure and deployment processes.
  • Participate in code reviews and provide constructive feedback to team members.
Requirements
  • 3+ years of experience in DevOps roles.
  • Experience with CI/CD tools (Jenkins, GitLab CI).
  • Proficiency in containerization technologies (Docker, Kubernetes).
  • Experience with cloud services (AWS, Azure, GCP).
  • Familiarity with infrastructure as code tools (Terraform, Ansible).
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Excellent communication and teamwork skills.
Benefits
  • Total rewards package including competitive salary,equity package, and benefits.
  • Flexible and remote work environment.
  • Opportunity to build the marketing function for a VC-backed start-up at the intersection of blockchain and AI
  • Professional development and growth opportunities.
  • Be a part of a dynamic and innovative team that is shaping the future of decentralized applications

Join YeagerAI and be a part of a team that is pushing the boundaries of what is possible with AI and blockchain technology.

Top Skills

Ansible
AWS
Azure
Docker
GCP
Gitlab Ci
Jenkins
Kubernetes
Python
Terraform
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The Company
HQ: New York, New York
19 Employees
On-site Workplace
Year Founded: 2023

What We Do

YeagerAI is a pioneering AI research lab dedicated to building technology in the pursuit of sovereignty, transparency, and decentralization.

We are a team of builders, distributed globally, contributing to the development of open-source tools and protocols that enable the next generation of interaction between humans and AI.

What we are building:

GenLayer

GenLayer is a first-of-its-kind blockchain capable of executing ai-powered smart contracts that understand both code and natural language, and can connect to the internet. GenLayer allows developers to build decentralized applications that leverage the power of AI to automate complex processes, make smart decisions, and interact with the real world in ways that were previously impossible.

GenWorlds

GenWorlds is an open-source framework designed for building multi-agent systems where autonomous agents coordinate to achieve specific goals. It offers extensive customization through an abstraction layer that allows developers to build agents, objects, and worlds without predefined limits. The framework supports both deterministic and non-deterministic processes, providing flexibility in managing system reliability and accuracy.

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