- Minimum Qualification :
- Experience Level : Entry level
- Experience Length : No Experience/Less than 1 year
Job Description/Requirements
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 Data shows that 73% of companies struggle with deployment delays and operational downtime, primarily due to outdated processes and lack of AI-driven automation.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
- Focusing solely on manual monitoring, troubleshooting, and maintenance of systems; your goal will be to get AI to do these things for you
- 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
- 3+ 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
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 Crossover
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. The compensation level for this role is $30 USD/hour, which equates to $60,000 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.
What to expect next:
- You will receive an email with a link to start your self-paced, online job application.
- Our hiring platform will guide you through a series of online “screening” assessments to check for basic job fit, job-related skills, and finally a few real-world job-specific assignments.
- First, emails may take up to 15 minutes to send, refresh and check again.
- Second, check your spam and junk folders for an email from Crossover.com, mark as “Not Spam” since you will receive other emails as well.
- Third, we will send to whatever email account you indicated on the Apply form - by default, that is the email address you use as your LinkedIn username and it might be different than the one you have already checked.
- If all else fails, just reset your password by visiting https://www.crossover.com/auth/password-recovery if you already applied using LinkedIn EasyApply.
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