GCP Infrastructure & DevSecOps Architect

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.

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