Middle Advanced CloudOps Engineer
This is us
At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.
This is the job
In Argentina within the Technology & AI Solutions industry, we are actively seeking a Middle CloudOps Engineer to strengthen our team dedicated to cloud operations, automation, and intelligent infrastructure. Your mission will be to combine traditional Cloud/DevOps practices with cutting-edge AI, AIOps, and intelligent agents to optimize infrastructure efficiency and drive innovation.
This is a remote position, but we prioritize candidates living in Córdoba or CABA for eventual on-site meetings.
This is you
Proven experience managing multi-cloud environments, specifically AWS and Azure (including CAF frameworks).
Solid experience with CI/CD pipelines using tools like GitLab, Jenkins, or similar.
Hands-on experience in Kubernetes administration, with a strong focus on Amazon EKS.
Familiarity with FinOps practices for cost optimization and Cloud governance.
Experience developing scripts and internal tools for DevOps, Engineering, or AI teams.
Proactive mindset with a strong technological curiosity and a focus on automation and continuous improvement.
Nice-to-have skills:
Experience or strong interest in Generative AI applied to DevOps/CloudOps (DevOpsAgent, Amazon Q, Azure OpenAI, Copilot).
Understanding of AI Agents, AIOps, Prompt Engineering, and ChatOps integrations.
Experience with Low-Code / No-Code tools for AI-driven automation.
Knowledge of MCP (Model Context Protocol).
This is your role
Develop and maintain robust CI/CD tools and automate complex operational tasks.
Implement AI use cases to significantly improve operational efficiency and accelerate incident analysis.
Participate actively in cloud cost optimization initiatives following FinOps best practices.
Promote cloud governance and best practices across AWS and Azure environments.
Create, manage, and monitor technical metrics and KPIs for DevOps and Engineering teams.
Integrate intelligent agents into deployment processes and operational workflows to build the future of Platform Engineering.
At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.
Apply To This Job
At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.
This is the job
In Argentina within the Technology & AI Solutions industry, we are actively seeking a Middle CloudOps Engineer to strengthen our team dedicated to cloud operations, automation, and intelligent infrastructure. Your mission will be to combine traditional Cloud/DevOps practices with cutting-edge AI, AIOps, and intelligent agents to optimize infrastructure efficiency and drive innovation.
This is a remote position, but we prioritize candidates living in Córdoba or CABA for eventual on-site meetings.
This is you
Proven experience managing multi-cloud environments, specifically AWS and Azure (including CAF frameworks).
Solid experience with CI/CD pipelines using tools like GitLab, Jenkins, or similar.
Hands-on experience in Kubernetes administration, with a strong focus on Amazon EKS.
Familiarity with FinOps practices for cost optimization and Cloud governance.
Experience developing scripts and internal tools for DevOps, Engineering, or AI teams.
Proactive mindset with a strong technological curiosity and a focus on automation and continuous improvement.
Nice-to-have skills:
Experience or strong interest in Generative AI applied to DevOps/CloudOps (DevOpsAgent, Amazon Q, Azure OpenAI, Copilot).
Understanding of AI Agents, AIOps, Prompt Engineering, and ChatOps integrations.
Experience with Low-Code / No-Code tools for AI-driven automation.
Knowledge of MCP (Model Context Protocol).
This is your role
Develop and maintain robust CI/CD tools and automate complex operational tasks.
Implement AI use cases to significantly improve operational efficiency and accelerate incident analysis.
Participate actively in cloud cost optimization initiatives following FinOps best practices.
Promote cloud governance and best practices across AWS and Azure environments.
Create, manage, and monitor technical metrics and KPIs for DevOps and Engineering teams.
Integrate intelligent agents into deployment processes and operational workflows to build the future of Platform Engineering.
At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.
Apply To This Job