About the role

Cloud Solutions Architect

Job Summary:

The Cloud Solutions Architect is responsible for designing, implementing, and optimizing cloud infrastructure across multiple platforms such as AWS, Azure, and GCP. This role is pivotal in enhancing the organization’s cloud capabilities by developing automation solutions and integrating generative AI technologies to improve operational efficiency and overall performance.

Key Responsibilities:

Understand and analyze new requirements, proposing optimal cloud solutions that align with best practices for AWS, Azure, and GCP.
Deploy, maintain, monitor, and manage cloud infrastructure ensuring seamless operation and compliance across multi-cloud environments.
Create and manage virtual networks, subnets, and network security groups (NSG) on cloud platforms.
Develop and manage CI/CD pipelines to automate builds, testing, and deployments, enhancing software delivery processes.
Design and implement cloud automation workflows using Terraform and Infrastructure as Code (IaC) tools.
Research and integrate new automation tools and techniques to streamline cloud operations and improve efficiency.
Collaborate with cross-functional teams to optimize automation processes, enhancing the use of generative AI and data management strategies.

Requirements:

Proven experience working with AWS, Azure, and GCP, with deep knowledge of cloud tools and best practices.
Strong understanding of networking components including DNS, DHCP, LAN/WAN technologies, and security practices.
Experience with vulnerability management, monitoring, and compliance in a cloud environment.
Proficiency in automation scripting using Python, Bash, or similar languages.
Hands-on experience in utilizing Azure Security Center and Azure Monitor for improved security management.
Knowledge of ITIL processes and inventory management best practices.
Ability to manage alerts, activity logs, and log analytics workspaces effectively.

Preferred Qualifications:

Experience in designing generative AI models for AIOps applications using frameworks like RAG with Langchain.
Familiarity with data streaming and managing cloud data lakes for artificial intelligence model training.
Knowledge of load balancing strategies and management in a multi-cloud environment.
Experience in developing and managing GenAI service catalog code generation models.
Proven ability to enhance automation frameworks for infrastructure deployment across multiple cloud platforms.

Benefits:

Competitive salary with performance-based bonuses.
Comprehensive health, dental, and vision insurance plans.
Flexible work hours and remote working options to promote work-life balance.
Opportunities for professional development and certifications in cloud technologies.
Generous paid time off and holiday policies.
Access to the latest tools and technologies within a collaborative work environment.
Employee recognition programs and wellness initiatives for a healthy workplace culture.

Cloud Operations