The Senior Google Cloud Infrastructure & DevSecOps Architect (10–15 years of experience) is a seasoned technology leader responsible for designing, engineering, and delivering enterprise-grade cloud transformation programs on Google Cloud Platform (GCP). This role combines deep expertise in GCP core infrastructure with hands-on proficiency in DevSecOps, Terraform, Packer, CI/CD automation, and enterprise cloud security. The architect will also leverage foundational knowledge of AI/ML and generative AI services such as Vertex AI, Gemini Enterprise, and agentic AI workflows. The role includes leading workshops, developing HLD/LLD architecture, defining target-state GCP architectures, establishing secure landing zones, and ensuring environment reliability, scalability, and cost optimization across large transformation programs. Qualifications & Certifications • Bachelor's degree in Engineering, Information Technology, Computer Science, or equivalent. • Google Cloud Professional Cloud Architect (mandatory) • GCP DevSecOps or Security Certification (preferred) • HashiCorp Terraform Associate (mandatory) • Additional certifications in AI/ML or Kubernetes (nice to have) Key Responsibilities (GCP Infrastructure & DevSecOps) Cloud Architecture & Design • Lead end-to-end architecture, design, and deployment of secure, scalable, and resilient GCP environments including Compute Engine, GKE, Cloud Run, Cloud Storage, IAM, networking, and security services. • Develop comprehensive HLD, LLD, architectural blueprints, design patterns, and documentation for implementation teams. • Drive definition of target-state cloud architecture, landing zones, network segmentation, IAM strategies, policy guardrails, and GCP best practices. Migration & Cloud Transformation • Lead large-scale cloud migration initiatives including hybrid migration strategies, application modernization, and workload re-platforming onto GCP. • Ensure migration integrity, performance, and minimal business disruption. DevSecOps, Automation & IaC • Implement automation using Terraform, Packer, and CI/CD pipelines such as Jenkins, GitHub Actions, Bitbucket Pipelines, ArgoCD, Tekton. • Establish DevSecOps frameworks integrating security scanning, policy-as-code, shift-left practices, secret management, and continuous compliance. • Define and standardize IaC modules, deployment pipelines, and operational guardrails. Security, Governance & Compliance • Architect and enforce cloud security standards including IAM governance, VPC Service Controls, data protection, encryption, and compliance alignment. • Integrate threat detection, vulnerability management, observability, and identity governance into GCP workloads. AI/ML & Generative AI (Foundational Knowledge) • Partner with AI/ML teams to support deployment, lifecycle management, and operationalization of AI models using Vertex AI, Gemini, and generative AI pipelines. • Provide architectural guidance on scalable and secure AI solution patterns. Leadership & Stakeholder Engagement • Conduct technical workshops, architecture reviews, and solution walkthroughs with business, engineering, and security teams. • Mentor engineers, guide solutioning efforts, and act as a trusted advisor for cloud and AI modernization. • Communicate architectural decisions and program roadmaps to senior leadership. Required Skills and Expertise • 10–15 years IT experience with 5–8 years specialized in GCP architecture. • Expert-level knowledge of GCP core services including Compute Engine, GKE, Cloud Run, Cloud Storage, BigQuery, IAM, VPC, Cloud Load Balancing, and network security. • Strong background in Infrastructure as Code (Terraform), image management (Packer), and CI/CD automation. • Experience leading enterprise cloud migrations and hybrid cloud deployments. • Excellent architectural documentation, HLD/LLD creation, and stakeholder facilitation skills. • Solid understanding of cloud security architecture, identity governance, and compliance frameworks. • Familiarity with GCP AI/ML ecosystems including Vertex AI, Gemini, foundation model operations, and prompt engineering. • Strong leadership, communication, and cross-functional collaboration skills. If you are matching with skills, pls share CV at payal.c@hcltech.com with availability and salary details.