DevOps Specialist
$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

DevOps Specialist   $100,000 USD/year

Description

Traditional site reliability teams routinely face challenges maintaining pace with manual monitoring, reactive troubleshooting, and labor-intensive deployment workflows. While AI offers a clear path forward, most 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 attributable to legacy processes and insufficient AI-driven automation.

IgniteTech is addressing these challenges directly by developing AI-first cloud solutions engineered to anticipate and prevent issues before they materialize. Our approach embeds AI and machine learning into every layer of cloud infrastructure management—from automated monitoring frameworks to intelligent CI/CD pipelines. The result is infrastructure that not only self-heals but also adapts continuously, minimizing downtime, enhancing performance, and expanding the possibilities of cloud service delivery.

This role differs fundamentally from conventional site reliability positions that rely on reactive problem-solving and manual intervention. You'll spearhead the development of AI-enhanced monitoring systems capable of detecting and resolving 95% of incidents before users are affected. You'll also design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% while dramatically reducing manual touchpoints. The successful candidate will excel in AI-driven environments, embrace automation-first methodologies, and demonstrate enthusiasm for advancing cloud infrastructure design.

Joining our global team of innovators, you'll contribute directly to redefining cloud infrastructure standards. Your contributions will be central to our objective of delivering next-generation, AI-driven operational excellence. We're looking for candidates passionate about AI who are prepared to create enduring 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 remediate issues before operational impact occurs
  • 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 enabling AI to perform these functions

Key responsibilities

  • Deliver seamless scalability and performance optimization for AI-powered cloud services, maintaining 99.99% uptime while executing AI-enhanced software upgrades and customizations aligned with evolving client requirements

Candidate requirements

  • AI-First Mindset (if your default approach is to write code first and subsequently use AI tools for verification or enhancement, rather than the reverse, please do not apply)
  • Minimum 3 years of DevOps experience, encompassing automation of CI/CD pipelines and infrastructure management
  • Minimum 2 years of hands-on experience with Amazon Web Services (AWS) or Google Cloud Platform (GCP)
  • Competency in AI and machine learning tools applied to monitoring, automation, and predictive analytics (or demonstrated willingness to learn and adopt AI-driven technologies)
  • Solid programming and scripting capabilities, with proven experience automating tasks and constructing AI-driven processes

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