Cloud Engineer, IgniteTech (Remote) - $100,000/year USD

Trilogy; Toronto; Remote; USD 100,000; Full time

Job summary

A leading technology company is seeking a Cloud Engineer to drive AI-enhanced cloud infrastructure management. The ideal candidate will have experience with automation and CI/CD processes, focusing on proactive problem-solving using AI. Join a dynamic team to innovate cloud services and redefine operational excellence.

Qualifications

• 2+ years of DevOps experience.
• Experience with AWS or GCP.
• Strong understanding of AI-based tools.

Responsibilities

• Implement AI-based monitoring services.
• Manage CI/CD pipelines with AI-driven automation.
• Optimize performance for AI-powered cloud services.

Skills

Automation

AI and Machine Learning

Programming

Scripting

Job description

Cloud Engineer, IgniteTech (Remote) - $100,000/year USD

Join to apply for the Cloud Engineer, IgniteTech (Remote) - $100,000/year USD role at Trilogy

Cloud Engineer, IgniteTech (Remote) - $100,000/year USD

Join to apply for the Cloud Engineer, IgniteTech (Remote) - $100,000/year USD role at Trilogy

This range is provided by Trilogy. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$50.00/hr - $50.00/hr

It's no secret that traditional site reliability teams struggle to keep pace with manual monitoring, reactive troubleshooting, and labor-intensive deployments. The rise of AI presents a solution, but many companies fail to fully leverage its potential, resulting in systems that underperform and bottlenecks that stifle innovation. Data shows that 73% of companies struggle with deployment delays and operational downtime, primarily due to outdated processes and lack of AI-driven automation.

At IgniteTech, we are tackling these issues head-on by building AI-first cloud solutions that are designed to anticipate and prevent problems before they arise. We focus on integrating AI and machine learning into every facet of cloud infrastructure management, from automated monitoring systems to intelligent CI/CD pipelines. This approach creates environments that not only self-heal but also continuously evolve, reducing downtime, improving performance, and pushing the boundaries of what cloud services can do.

This isn't your typical site reliability role, where you'd be reacting to problems and manually intervening when things go wrong. Here, you'll lead the charge in building AI-enhanced monitoring systems that detect and resolve 95% of issues before they ever reach end users. You'll also architect and manage AI-automated CI/CD pipelines that reduce deployment times by 30% while slashing manual interventions. The ideal candidate thrives in an AI-driven environment, is excited by the prospect of automation-first solutions, and enjoys pushing the envelope of cloud infrastructure design.

In this role, you'll join a global team of innovators who are redefining cloud infrastructure. Your work will play a key role in our mission to deliver next-gen, AI-driven operational excellence. We're seeking someone who is passionate about AI and ready to make a lasting impact on the future of cloud services. If that's you, we encourage you to apply and be part of something revolutionary.

What You Will Be Doing

• Implementing AI-based monitoring services to automatically detect, predict, and resolve issues before they impact operations
• Managing CI/CD pipelines with AI-driven automation to enhance deployment efficiency and reduce manual intervention
  
  

What You Won’t Be Doing

• Focusing solely on manual monitoring, troubleshooting, and maintenance of systems; your goal will be to get AI to do these things for you
  
  

Cloud Engineer Key Responsibilities

• Achieve seamless scalability and optimize performance for AI-powered cloud services, ensuring 99.99% uptime while delivering AI-enhanced software upgrades and customizations that meet clients' evolving needs
  
  

Basic Requirements

• AI-First Mindset (if your instinct 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)
• 2+ years of DevOps experience, including automation of CI/CD pipelines and infrastructure management
• 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
  
  

About IgniteTech

If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech!

Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility.

A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team.

We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace.

There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you!

Working with us

This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic.

Crossover Job Code: LJ-4728-CA-Nunavut-CloudEngineer.004

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development, IT Services and IT Consulting, and Technology, Information and Internet

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