Traditional site reliability teams face persistent challenges with manual monitoring, reactive troubleshooting, and labor-intensive deployment processes. 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 through the development of AI-first cloud solutions engineered to anticipate and prevent issues before they materialize. Our approach embeds AI and machine learning throughout cloud infrastructure management—spanning automated monitoring systems to intelligent CI/CD pipelines. The result is environments that self-heal and continuously improve, minimizing downtime, enhancing performance, and expanding the capabilities of cloud services.
This role diverges from conventional site reliability positions where you would respond to incidents and manually intervene during failures. 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% while dramatically reducing manual interventions. The successful candidate will flourish in an AI-driven setting, embrace automation-first solutions, and relish advancing the state of cloud infrastructure design.
You'll become part of a global team of innovators who are transforming 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 join a revolutionary effort.
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 with AI-driven automation to improve deployment efficiency and minimize manual intervention
What You Won’t Be Doing
-
Concentrating exclusively on manual monitoring, troubleshooting, and system maintenance; your objective will be to enable AI to perform these functions for you
DevOps Engineer Key Responsibilities
-
Deliver seamless scalability and performance optimization for AI-powered cloud services, maintaining 99.99% uptime while providing AI-enhanced software upgrades and customizations that address clients' changing requirements
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)
-
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
About IgniteTech
World-class talent. 100% global remote.
Ready to be a part of the top talent that IgniteTech has curated from thousands of applicants throughout the world? Come join us.
Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re big believers in the remote-work-from-anywhere lifestyle, which creates freedom for our team members and enables us to hire the best and brightest from around the world. A career with IgniteTech is challenging and fast-paced and we’re always looking for energetic and enthusiastic team members.
We’re an Affirmative Action and Equal Opportunity employer and we value the strength that diversity brings to our 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-PK-NewKarac-DevOpsEngineer