AI Cloud Engineer

 Employment Type: AI Cloud Engineer (FinTech)

In cooperation with one of the world's leading technologies, Aventis Solutions is establishing a new AI Innovation Hub in Pune, India, and we are looking to recruit some of the most outstanding AI Cloud Engineers into its founding team.

It is an opportunity to leave the old days of cloud engineering behind and enter a role in the center of the AI revolution. You will design, construct, and scale the secure, high-relationship cloud-native system that drives the next-generation Generative AI and Engineered solutions to the world-wide financial services market.

You will work with global engineering, data and product teams in India, the US and the UK, and construct the foundations of the cloud that will determine the future of FinTech.

Key Role Details

Position: AI Cloud Engineer

Location: Pune, Maharashtra, India.

Team: Artificial Intelligence Innovation Hub (Financial Technology).

Pay: Competitive salary base pay + Performance bonus + Total compensation package.

Career Outlook: An accelerated career ladder into top-level, senior cloud, platform, or AI architecture leadership roles.

Role Overview: This is Not Traditional Cloud Engineering.

Being an AI Cloud Engineer means you will be integrated into a leading AI Innovation Hub. Your task is to make GenAI, Large scale automation, and LLMs a reality through the platforms. You will be crafting mission-critical cloud infrastructure, and make sure that the latest AI abilities are secure, scalable, and production-ready the first day.

What You Will Manage and Provide (Key Responsibilities):

• Design & Build: Design, build and operate advanced cloud-native systems on the large-scale AI and data infrastructure.
• Container Orchestration: Orchestrate and manage containerized AI/ML workloads using Kubernetes, Docker, and related orchestration platforms.
• MLOps Collaboration: Work in collaboration with MLOps and Data Engineering teams to be efficient, automated and secure in production.
• Cloud Security & Compliance: Adopt and adopt best practices of cloud security, and ensure that global financial services standards and regulation are observed to the letter.
• Performance & Scaling: Be proactive in monitoring, optimizing, and scaling of compute, storage, and networking resources to address the growing and demanding AI workloads.
• automation Drive automation with Infrastructure as Code (Terraform, CloudFormation, Pulumi): Use IaC to automate and harden processes by getting to deployment.
• Reliability Engineering: Troubleshoot stack-level issues, test and optimize cloud environments to provide the highest level of reliability, scalability and performance.

What You Bring (Ideal Candidate Profile):

• Relevant experience as a Cloud Engineer, DevOps Engineer, or SRE with a keen interest in cloud infrastructure.
• Solid, practical knowledge of at least one of the major cloud platforms: AWS, Azure or GCP.
• Good hands-on work experience with containerization and orchestration technologies (Kubernetes and Docker required).
• Experienced in Infrastructure as Code (IaC) tools (i.e., Terraform, CloudFormation, or Pulumi).
• Good knowledge of cloud security principles and networking, as well as identity management.
• Knowledge in scripting and automation (e.g. Python, Go, Bash).
• Very good problem-solving skills and teamwork in a global and collaborative work team.
• A true interest in working at the intersection between AI and cloud infrastructure.

Apply Here: https://www.linkedin.com/jobs/view/4309620142/?eBP=CwEAAAGZpO8vsoLouSqUPcEd4kVLcHUrWq996oumRWPcf5BybhKYop-UFtXTMXirTC5xQul-3BHVYS0hzehZD4NLugidb9q71L-4Qv79CGWsI_bZy-Ryt4Gyo4_30opUqtnRfzX-8VPG3VwE5UWUN3nm3Tn5BO975ZrZy9MKdtH70A3udAxi6nN2NAxfZjUd-7xgDr9PPyG24G5e9wVx4jYnpumahaR4LjcoHq8ZYpX4jlhpimGjUtuvVq9yyA6UgjtU65DBl0h2j1K0IXntguSIdu1PrS8rOSeofP3IKeTLyxyRcfaUgKzEW1ILTgGt_gFcl--FGmNB6f9HdofW-Rx6_DNkFkvmn1S_v-wHkFwwBTL2lPY4sLZrF8NJOncfVOOWHac&refId=599a5e47-b903-38ed-a0cc-09117d3f733a&trackingId=CouBhrwvkFeO5nwRUl%2B0Dw%3D%3D

Keywords: 

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