Talantix.io
Pulumi•11.03.26
AI SCORE 8.7

Remote Principal Engineer - AI-Driven Infrastructure

$150K–$200K/year
RemoteAI Infrastructure
Python•Go•JavaScript•AWS•Azure•GCP•Kubernetes•Infrastructure as Code•AI Systems

About the Role

We're hiring a Remote Principal Engineer to join our innovative team at Pulumi. In this role, you will help build an autonomous infrastructure engineering agent, known as Neo, that revolutionizes how cloud environments are managed. If you're excited about agentic AI systems that solve impactful problems for engineers, developers, and security experts at innovative startups and iconic enterprises alike, this role is for you.

What You'll Do

  • Build the planning and execution systems that let Neo safely perform multi-step infrastructure operations across AWS, Azure, GCP, Kubernetes, and more.
  • Design tool interfaces that give the agent semantic understanding of cloud resources and access to engineering workflows.
  • Develop context systems that help Neo understand each customer's infrastructure patterns and usage.
  • Create feedback loops and self-correction mechanisms that enable autonomous operation.
  • Collaborate with cross-functional teams to ensure seamless integration of Neo into existing workflows.
  • Contribute to the overall architecture and scalability of the Neo platform.

Requirements

  • 5+ years of experience in software engineering, with a focus on cloud infrastructure.
  • Strong understanding of infrastructure-as-code principles and tools.
  • Experience with AI systems and their application in cloud environments.
  • Proficiency in programming languages such as Python, Go, or JavaScript.
  • Familiarity with cloud platforms like AWS, Azure, and GCP.
  • Excellent problem-solving skills and the ability to think critically about complex systems.

Nice to Have

  • Experience with machine learning and AI frameworks.
  • Knowledge of Kubernetes and container orchestration.
  • Previous experience in a remote-first work environment.

What We Offer

  • Competitive salary ranging from $150,000 to $200,000 per year.
  • Fully remote work environment with flexible hours.
  • Opportunities for professional growth and development.
  • Collaborative and inclusive company culture.
  • Health and wellness benefits.
  • Equity options in a rapidly growing company.
Why This Job8.7 of 10

This Remote Principal Engineer role at Pulumi offers a unique opportunity to lead innovative AI-driven infrastructure projects. Enjoy a competitive salary and a fully remote work environment.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficiency in Python and Go for developing scalable AI-driven infrastructure solutions, with a deep understanding of Infrastructure as Code principles using tools like Terraform or Pulumi.

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Strong experience with cloud platforms such as AWS, Azure, and GCP, coupled with hands-on expertise in Kubernetes for container orchestration, enabling efficient deployment and management of AI systems in a remote work environment.

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A forward-thinking mindset focused on innovation in AI technologies, with a proven track record of leading complex projects that integrate AI solutions into existing infrastructure, demonstrating both strategic vision and technical depth.

Learning Resources

→Python for Data Science and Machine Learning Bootcampcourse
→Learn Kubernetes: Fundamentals of Kubernetescourse
→Infrastructure as Code (IaC) with Terraform on Azurearticle

Career Path

Remote Principal Engineer - AI-Driven Infrastructure(Now)→Engineering Manager - AI Systems(1-2 years)→Director of Infrastructure Engineering(3-5 years)

Market Overview

Market Size 2024
$50B
Annual Growth
20.5%
AI Adoption in IT
75%
Investment in AI Infrastructure
+150%
Labour Demand for AI Engineers
+30%
Avg Salary for Principal Engineers
$180K

Skills & Requirements

Required
PythonGoJavaScript
Growing in Demand
Machine LearningData EngineeringDevOps Practices
Declining
jQueryPHP

Domain Trends

Rise of AI-Driven Infrastructure
By 2025, 80% of IT infrastructure will be managed through AI, optimizing resource allocation and reducing costs by up to 40%.
Increased Adoption of Kubernetes
Kubernetes usage has surged by 60% in the last year, becoming the standard for container orchestration in cloud environments.
Shift to Multi-Cloud Strategies
Over 60% of enterprises are adopting multi-cloud strategies, leading to a 50% increase in demand for engineers skilled in AWS, Azure, and GCP.

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