Cloud Architect
$100,000 USD/year Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks 

Fully-remote
Remote
full-time (40 hrs/week)
Flexible schedule
Long-term role

Cloud Architect   $100,000 USD/year

Description

Traditional site reliability teams often find themselves constrained by manual monitoring, reactive problem-solving, and deployment processes that demand significant manual effort. While AI offers a path forward, many organizations fail to harness its full capabilities, leading to underperforming systems and innovation-blocking bottlenecks. Research indicates that 73% of organizations experience deployment delays and operational downtime, largely due to legacy processes and insufficient AI-driven automation.

IgniteTech is addressing these challenges directly by developing cloud solutions with AI at their core—solutions engineered to anticipate and mitigate problems before they materialize. We embed AI and machine learning throughout cloud infrastructure management, from automated monitoring frameworks to intelligent CI/CD pipelines. This strategy produces environments that self-heal and continuously improve, minimizing downtime, enhancing performance, and expanding the possibilities of cloud services.

This role differs from conventional site reliability positions, where you would spend time reacting to incidents and performing manual interventions. Instead, you'll spearhead the development of AI-enhanced monitoring systems capable of detecting and resolving 95% of issues before end users are affected. You'll also design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% and dramatically reduce manual effort. The right candidate will excel in an AI-driven setting, embrace automation-first strategies, and relish the challenge of advancing cloud infrastructure design.

Joining this role means becoming part of a global team of innovators reshaping cloud infrastructure. Your contributions will be central to our mission of delivering next-generation, AI-driven operational excellence. We are looking for someone passionate about AI who is prepared to make a meaningful impact on the future of cloud services. If this describes you, we invite you to apply and participate in something transformative.

What you will be doing

  • Deploying AI-based monitoring services that automatically detect, predict, and resolve issues before they disrupt operations
  • Overseeing CI/CD pipelines enhanced with AI-driven automation to improve deployment efficiency and minimize manual intervention

What you will NOT be doing

  • Concentrating exclusively on manual monitoring, troubleshooting, and system maintenance; your objective will be to enable AI to handle these tasks for you

Key responsibilities

  • Deliver seamless scalability and optimize performance for AI-powered cloud services, maintaining 99.99% uptime while providing AI-enhanced software upgrades and customizations that address clients' changing requirements

Candidate requirements

  • AI-First Mindset (if your default approach is to write code first and then use AI tools to verify or enhance your code, rather than the other way around, then please do not apply)
  • A minimum of 3 years of DevOps experience, including automation of CI/CD pipelines and infrastructure management
  • A minimum of 2 years of experience with Amazon Web Services (AWS) or Google Cloud Platform (GCP)
  • Proficiency in AI and machine learning tools used for monitoring, automation, and predictive analytics (or strong willingness to learn and adapt to AI-driven technologies)
  • Strong programming and scripting skills, with experience in automating tasks and building AI-driven processes

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