Practice architect-gcp cloud

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success.

Ready to join us? Here’s what the opportunity supported through our TGS Talent Acquisition Team requires: The Google Cloud Infrastructure Practice Architect I is a senior technical role within TEKsystems Global Services, responsible for designing, developing, and implementing Cloud Infrastructure solutions on the Google Cloud Platform (GCP) for clients. This role requires an experienced professional with expertise in architecting and delivering enterprise-grade Cloud Infrastructure systems. The Practice Architect I will provide technical guidance to project teams, ensuring solutions are scalable, resilient, and aligned with client business objectives and TEKsystems' quality standards.

A significant aspect of this role involves translating business challenges into effective technical solutions using a variety of GCP services. The incumbent will contribute to practice development through the creation of intellectual property (IP), participation in mentoring activities, and support of pre-sales efforts. This position is distinguished by the ability to independently deliver cloud infrastructure solutions and lead technical workstreams within larger project teams. This individual must be a motivated technologist adept at navigating multiple cloud platforms and demonstrating a proven track record in technology and consulting.

The Google Cloud Infrastructure Practice Architect I serves as a vital link between client requirements and technical execution, ensuring that the solutions delivered are not only technologically sound but also drive tangible business value. This role demands a deep understanding of Cloud Architecture, Infrastructure Strategy, Platform Engineering, Infrastructure as Code, DevOps strategy, Cloud Networking, Security and Governance, Reliability Engineering, Cloud Operations, and AI Infrastructure Architecture, including platforms for Generative AI, Agentic AI, model serving, GPU-based workloads, and AI platform operations.

The architect will collaborate closely with clients to understand their needs, present technical solutions, and support successful project delivery. Furthermore, this position contributes to the refinement of practice methodologies and service offerings, leveraging insights gained from project engagements and staying abreast of the latest advancements in GCP AI infrastructure and technologies, including Generative AI.

Responsibilities:

• Architecture & Delivery Excellence: Design and implement cloud infrastructure solutions on Google Cloud Platform, leveraging core GCP services including Compute Engine, Google Kubernetes Engine (GKE), Cloud Storage, Cloud Load Balancing, Cloud DNS, Cloud Interconnect, Cloud VPN, Shared VPC and Network Connectivity Center.
• Contribute to the design and implementation of enterprise landing zones and governance frameworks, establishing standardized patterns for networking, security, identity, compliance, observability, and operational excellence.
• Design and implement Infrastructure as Code (IaC) solutions using Terraform and GitOps methodologies, enabling automated provisioning, configuration management, and infrastructure lifecycle management.
• Define and implement cloud networking architectures, including hybrid and multi-cloud connectivity, VPC design, segmentation strategies, DNS, load balancing, service networking, and network security controls.
• Design and implement cloud security solutions leveraging IAM, Organization Policies, VPC Service Controls, Cloud Armor, Model Armor, Security Command Center, CMEK, Secret Manager, and Zero Trust security principles.
• Support platform engineering capabilities, including Kubernetes platforms, container orchestration, developer self-service platforms, CI/CD pipelines, infrastructure automation, and cloud-native operating models.
• Implement and enhance observability, reliability, and operational frameworks utilizing Cloud Monitoring, Cloud Logging, Cloud Trace, Cloud Operations Suite, SRE principles, disaster recovery, backup strategies, and business continuity planning.
• Support the design and implementation of infrastructure platforms for AI, Generative AI, and Agentic AI workloads, including GPU-enabled environments, scalable inference platforms, vector database infrastructure, model serving architectures, and secure integration patterns.

Project Leadership & Delivery Management:

• Lead technical workstreams within GCP cloud infrastructure and modernization initiatives, ensuring adherence to architectural standards, security requirements, project scope, timelines, and delivery objectives.
• Provide technical guidance and support to cloud engineers, platform engineers, DevOps engineers, SREs, and solution architects, promoting engineering excellence and continuous improvement.
• Manage technical risks and issues throughout the project lifecycle, facilitating timely resolution and communicating effectively with stakeholders.
• Support delivery governance, resource planning, and project execution to help ensure successful customer outcomes.
• Conduct technical workshops, architecture reviews, and enablement sessions to help customers accelerate cloud adoption and operational maturity on GCP.

Client Engagement & Technical Advisory:

• Collaborate closely with client stakeholders to understand their business objectives, technical requirements, and challenges, translating them into effective GCP solution architectures.
• Support Value Engineering efforts to help clients articulate the ROI of Cloud Infrastructure initiatives, ensuring clear KPIs are established to move projects successfully from Proof of Concept (PoC) into enterprise production.
• Present and articulate technical solutions, architectural designs, and project progress to both technical and non-technical client audiences, building trust and ensuring alignment.
• Act as a technical point of contact for clients during project execution, addressing concerns and managing expectations.
• Support pre-sales activities by contributing to solution design, proposal development, technical presentations, and proof-of-concept (PoC) demonstrations for Google Cloud Infrastructure opportunities.
• Participate in strategic workshops, hackathons, and ideation sessions for customers within the Google ecosystem, leveraging partner-led discovery frameworks to drive AI Infrastructure and Agentic AI infrastructure adoption.

Practice Development & Mentorship:

• Contribute to the development and refinement of TEKsystems' GCP practice by creating reusable intellectual property (IP), best practices, reference architectures, and delivery methodologies.
• Support and mentor cloud engineers and DevOps engineers, fostering their technical and professional growth within the practice.
• Stay current with advancements in Google Cloud Platform services, cloud-native technologies, platform engineering, Kubernetes ecosystems, cloud security, infrastructure automation, and emerging AI infrastructure capabilities, driving innovation within the practice.
• Participate in architectural discussions to build confidence and ensure customer success when building new and migrating existing applications, software, and services on the GCP platform.

Enterprise Req Skills:

Cloud Architecture, Google Cloud Platform (GCP), Cloud Infrastructure, Solution Architecture, Enterprise Architecture, Platform Engineering, Cloud Migration & Modernization, Kubernetes (GKE), Infrastructure as Code (Terraform), Cloud Networking, Cloud Security, Identity & Access Management (IAM), Governance & Compliance, Automation, DevOps, Site Reliability Engineering (SRE), CI/CD, Hybrid Cloud, Multi-Cloud Architecture, Observability & Monitoring, Disaster Recovery & Business Continuity, FinOps, Cloud Operations, Agile Delivery, Project Management, Technical Leadership, Communication Skills, AI Infrastructure Platforms, Generative AI Infrastructure, and Agentic AI Platform Enablement.

Job Title:

Practice Architect I – GCP Infrastructure

Top Skills Details:

Bachelor’s/master’s degree in computer science, Engineering, or a related technical field, or equivalent, relevant experience.

A minimum of 8+ years of progressive experience in Information Technology, with a strong emphasis on cloud infrastructure, enterprise architecture, platform engineering, cloud operations, and infrastructure modernization.

At least 3–5+ years of direct, hands-on experience designing, implementing, and operating enterprise-scale cloud infrastructure solutions on Google Cloud Platform, with demonstrated expertise in architecting for scalability, security, resiliency, performance, and operational excellence.

A minimum of 1–2+ years of experience in a technical leadership role, leading cloud transformation initiatives, infrastructure modernization programs, or platform engineering teams.

Demonstrated experience with the complete lifecycle of Infrastructure projects on GCP, from initial requirements gathering and PoC development through to production deployment, monitoring, and optimization.

Proven experience architecting and implementing Infrastructure as Code (IaC) and cloud automation frameworks using Terraform, GitOps, CI/CD pipelines, and infrastructure lifecycle management practices.

Strong client-facing experience, including presenting technical solutions, participating in workshops, and effectively communicating with diverse stakeholders. Experience in a software/technology customer-facing role for at least 3 years is highly relevant.

Extensive experience architecting and implementing secure, scalable, and resilient cloud infrastructure solutions on Google Cloud Platform, including enterprise networking, cloud security and governance, Kubernetes and platform engineering, cloud-native modernization, Site Reliability Engineering (SRE), observability, disaster recovery, AI Infrastructure and operational excellence frameworks.

At least 1 year of experience in Generative AI using Hyperscalers, employing techniques such as RAG, prompt engineering, Agentic AI, and AI Infrastructure. This reflects the growing importance of Generative AI skills at this level.

Active Google Cloud Professional Certification is highly preferred (Professional Cloud Architect, Professional Cloud Network Engineer and/or Professional Cloud Security Engineer), reflecting our commitment to the Google Cloud Partner Advantage ecosystem.