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- Aufgaben: Lead the development of AI-driven cloud solutions and automate monitoring systems.
- Arbeitgeber: IgniteTech is revolutionizing cloud infrastructure with innovative AI-first solutions.
- Mitarbeitervorteile: Enjoy a remote work environment with a competitive salary of $100,000/year.
- Warum dieser Job: Join a global team redefining cloud services and make a lasting impact on technology.
- GewĂĽnschte Qualifikationen: 2+ years in DevOps, experience with AWS or GCP, and strong programming skills required.
- Andere Informationen: This role focuses on automation, not manual troubleshooting—be part of the future!
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
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 Data shows that 73% of companies struggle with deployment delays and operational downtime, primarily due to outdated processes and lack of AI-driven automation.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 will NOT 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
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.
Candidate Requirements
- 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
This position is also known as:
- Site Reliability Engineer
- DevOps Consultant
- AI Cloud Engineer
- Senior Site Reliability Engineer
- Cloud Engineer
- DevOps Engineer
- AI Cloud DevOps Engineer
- DevOps Specialist
- AI Site Reliability Engineer
- AI DevOps Engineer
#J-18808-Ljbffr
Cloud Architect, IgniteTech (Remote) - $100,000/year USD Arbeitgeber: TieTalent
Kontaktperson:
TieTalent HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Cloud Architect, IgniteTech (Remote) - $100,000/year USD
✨Tip Number 1
Familiarize yourself with AI and machine learning tools that are commonly used in cloud infrastructure. Understanding how these technologies can be integrated into monitoring and automation will give you a significant edge in the interview process.
✨Tip Number 2
Showcase your experience with CI/CD pipelines, especially any automation you've implemented. Be ready to discuss specific projects where you've successfully reduced deployment times or improved efficiency through automation.
✨Tip Number 3
Highlight your proficiency with AWS or GCP, as well as any relevant certifications. Being able to demonstrate hands-on experience with these platforms will make you a more attractive candidate for this role.
✨Tip Number 4
Prepare to discuss your approach to problem-solving in an AI-driven environment. Think of examples where you've anticipated issues before they arose and how you leveraged automation to enhance operational performance.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Cloud Architect, IgniteTech (Remote) - $100,000/year USD
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully grasp the responsibilities and expectations of a Cloud Architect at IgniteTech. Highlight your experience with AI-driven solutions and how you can contribute to their mission of operational excellence.
Tailor Your Resume: Customize your resume to emphasize your DevOps experience, particularly in automating CI/CD pipelines and managing cloud services. Include specific examples of how you've utilized AI and machine learning in your previous roles.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and automation. Discuss how your skills align with IgniteTech's goals and provide examples of past projects where you successfully implemented AI-driven solutions.
Highlight Relevant Skills: In your application, make sure to mention your proficiency with AWS or GCP, as well as your programming and scripting skills. If you have experience with AI tools for monitoring and automation, be sure to include that as well.
Wie du dich auf ein Vorstellungsgespräch bei TieTalent vorbereitest
✨Show Your Passion for AI
Make sure to express your enthusiasm for AI and automation during the interview. Discuss any relevant projects or experiences where you've successfully implemented AI-driven solutions, as this aligns perfectly with IgniteTech's mission.
✨Demonstrate Your DevOps Expertise
Be prepared to talk about your experience with CI/CD pipelines and infrastructure management. Highlight specific tools and technologies you've used, especially within AWS or GCP, to showcase your hands-on knowledge in a cloud environment.
✨Discuss Problem-Solving Skills
Since the role focuses on preventing issues before they arise, share examples of how you've proactively identified and resolved potential problems in previous roles. This will demonstrate your ability to think ahead and innovate.
✨Prepare for Technical Questions
Expect technical questions related to AI, machine learning, and cloud infrastructure. Brush up on key concepts and be ready to explain how you would apply them in real-world scenarios, particularly in enhancing deployment efficiency and system performance.
