Traditional site reliability teams are often bogged down by manual processes, reactive fixes, and cumbersome deployments. The advent of AI offers a transformative opportunity, yet many organizations fall short in harnessing its full capabilities, leading to underperforming systems and innovation bottlenecks. Studies indicate that 73% of companies face deployment delays and operational downtimes due to outdated methods and a lack of AI-driven automation.
At IgniteTech, we are confronting these challenges by developing AI-centric cloud solutions designed to foresee and mitigate issues proactively. Our focus is to seamlessly integrate AI and machine learning across cloud infrastructure management, from automated monitoring setups to smart CI/CD pipelines. This strategy fosters environments that self-heal and continuously advance, minimizing downtimes, enhancing performance, and expanding the potential of cloud services.
This isn’t your average site reliability position, where you’re constantly firefighting issues. Here, you’ll be at the forefront, crafting AI-enhanced monitoring systems that preemptively address 95% of issues before they reach users. You’ll also design and oversee AI-powered CI/CD pipelines that cut deployment times by 30% while minimizing manual involvement. The ideal candidate will excel in an AI-driven setting, be eager to create automation-first solutions, and be enthusiastic about advancing cloud infrastructure design.
Joining our global team of pioneers, your contributions will be pivotal in our quest to achieve AI-driven operational excellence. We’re looking for someone passionate about AI and eager to influence the future of cloud services. If you’re ready to be part of something groundbreaking, we invite you to apply.

CANDIDATE REQUIREMENTS

• Minimum of 2 years in DevOps, focusing on CI/CD pipeline automation and infrastructure management.
• At least 2 years of experience with AWS or GCP.
• Proficiency in AI and machine learning tools for monitoring, automation, and predictive analytics, or a strong willingness to learn and adapt to AI-driven technologies.
• Strong programming and scripting skills with a track record in automating tasks and constructing AI-driven processes.

THIS POSITION IS ALSO KNOWN AS:

• Cloud Architect
• Site Reliability Engineer
• DevOps Consultant
• AI Cloud Engineer
• Senior Site Reliability Engineer
• Cloud Engineer
• AI Cloud DevOps Engineer
• DevOps Specialist
• AI Site Reliability Engineer

WHAT YOU WILL BE DOING

• Developing AI-based monitoring solutions to automatically detect, predict, and resolve issues before they affect operations.
• Overseeing CI/CD pipelines with AI-driven automation to boost deployment efficiency and minimize manual tasks.

WHAT YOU WILL NOT BE DOING

• Engaging primarily in manual monitoring, troubleshooting, and system maintenance; instead, you’ll leverage AI to handle these tasks.

KEY RESPONSIBILITIES

• Ensure seamless scalability and optimize performance for AI-powered cloud services, maintaining 99.99% uptime while delivering AI-enhanced software updates and customizations that align with clients’ evolving requirements.