Cloud DevOps Engineer

Cloud DevOps Engineer

We are seeking a skilled Cloud DevOps Engineer to join our team at HCL Technologies, contracted through Cadmaxx Solutions Pvt Ltd. This role involves leading the design, architecture, and deployment of scalable and secure Google Cloud infrastructure. The ideal candidate will have a strong background in cloud technologies and AI solutions.

Key Responsibilities

• Lead end-to-end design, architecture, and deployment of scalable, secure, and resilient Google Cloud infrastructure, including compute, GKE, Cloud Run, Storage, networking, IAM, and security solutions.
• Develop and deliver high-level design (HLD), low-level design (LLD) documents, architectural blueprints, and comprehensive documentation guiding implementation teams.
• Architect & implement generative AI & ML solutions using GCP AI services such as Vertex AI, Gemini Enterprise LLMs, AutoML, and agentic AI workflows that enable autonomous decision-making and intelligent automation.
• Conduct technical workshops, solution walkthroughs, and knowledge transfer sessions to foster understanding and alignment among business, security, and engineering teams.
• Drive cloud migration strategies, especially hybrid and large-scale enterprise migrations to GCP, ensuring minimal disruption and data integrity.
• Partner with DevOps, security, data science, and product teams to streamline AI model deployment, lifecycle management, and operational monitoring within cloud environments.
• Define and enforce cloud security and compliance controls, including IAM policies, VPC Service Controls, data governance, and audit practices aligned with regulatory standards.
• Stay abreast of innovations in GCP infrastructure and AI services, continuously evolving architecture practices to optimize cost, performance, and scalability.
• Mentor team members, lead architectural reviews, and act as a trusted advisor for complex cloud and AI challenges.

Requirements

• Bachelor?s degree in IT, Engineering, MBA, or other management qualification.
• GCP Architect Certification and Kubernetes Certification (CKA, CKAD, etc.).
• IT experience in Google Cloud Platform architecture and AI solution design.
• Expert-level knowledge of GCP core infrastructure services (Compute Engine, GKE, Cloud Storage, BigQuery, IAM, VPC, Cloud Load Balancing).
• Proven expertise in designing and implementing generative AI solutions using GCP AI/ML platforms, including Vertex AI and Gemini Enterprise.
• Experience in building and deploying agentic AI workflows that automate complex business processes with AI-driven decision-making.
• Strong skills in HLD/LLD creation, architectural documentation, and technical workshop facilitation.
• Experience leading large enterprise cloud migrations and hybrid cloud infrastructure deployments.
• Robust understanding of cloud security architecture, identity governance, and compliance frameworks.
• Proficient in Infrastructure as Code (Terraform) and CI/CD practices using Cloud Build or similar tools.
• Excellent stakeholder management, communication, and leadership skills capable of bridging technical and business domains.
• Relevant certifications like Google Professional Cloud Architect or Google Cloud AI Engineering certification are a plus.

Work Arrangements

• Contract position with a requirement of 5+ years of experience.
• Location: Pan India, with potential for remote work.