Field CTO - Cloud Infrastructure & Application Modernization, Google Cloud

Accenture•Milwaukee, NY

18h•Hybrid

About The Position

Cloud infrastructure and application architecture are the twin engines of enterprise transformation. Google Cloud enables mid-market clients to build secure, scalable cloud foundations while modernizing monolithic legacy systems into cloud-native microservices and containerized environments. Our clients need agile, execution-focused leaders who can design production-ready platform foundations, migrate complex workloads, modernize applications, and automate delivery pipelines to rapidly unlock scale and business value.

Requirements

Minimum 7+ years in hands-on, client-facing technology roles with at least 5 years architecting and delivering on Google Cloud Platform, with deep expertise in cloud infrastructure, networking, application development, microservices, and modern platform engineering.
Minimum 7+ experience independently owning client engagements from technical design through go-live, with strong dual mastery in technical leadership and delivery management (scope, risk, dynamic client stakeholders).
Minimum 3+ years experience hands-on proficiency with Terraform, VPC networking, Google Kubernetes Engine (GKE), Apigee/API gateways, Cloud Run, compute services, and CI/CD pipelines (Cloud Build, Jenkins, GitHub Actions)—including the ability to design landing zones, write Terraform modules, review PRs, and debug broken deployments.
Minimum 3+ years experience implementing security-by-design principles (IAM, org policies, encryption, network segmentation, compliance controls) alongside modern software engineering practices (clean code, testing strategies, observability, 12-factor apps).
Minimum 5+ years experience leading distributed global engineering teams and clear communication skills across technical whiteboarding with engineers or presenting to C-suite executives.
Bachelor's degree or equivalent experience (minimum 12 years of work experience if no degree; minimum 6 years of work experience required with an Associate's degree).

Nice To Haves

Degree Background: Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent 12 years of technical experience).
Google Cloud Certifications: Active Google Cloud Professional certifications (Cloud Architect, Cloud Network Engineer, Cloud Security Engineer, or Cloud Developer).
Large-Scale Migration Expertise: Track record of executing large-scale cloud migrations, data center exits, workload assessment, wave planning, and legacy app decomposition using strangler-fig or domain-driven design patterns.
Platform Engineering Depth: Hands-on experience building production landing zones, multi-project cloud foundations, developer self-service portals, and operating production Kubernetes platforms at scale.
Advanced Capabilities: Experience with Gemini Code Assist for AI-augmented developer productivity, automated policy-as-code (OPA/Gatekeeper), and hybrid/multi-cloud configurations (Anthos, Interconnect).
Domain Expertise Primary Domain Skills Cloud Foundations & IaC: GCP Landing Zones, Terraform script automation, Cloud Foundation Toolkit, Organization Hierarchies, IAM structures, and Policy-as-Code enforcement (OPA or Gatekeeper).
Containers & Orchestration: Google Kubernetes Engine (GKE), Docker, Cloud Run, Anthos, Istio Service Mesh, microservices, and 12-factor application architecture patterns.
APIs & Integration: Apigee, API gateway design, Pub/Sub, event-driven integration architecture, and REST/gRPC interfaces.
DevOps & CI/CD: Cloud Build, Jenkins, GitHub Actions, GitOps, automated testing, release management, Cloud Monitoring, Cloud Logging, and SRE automated alerting frameworks.
App Modernization & Migration Mechanics: Infrastructure discovery assessments, Migrate to VMs, legacy database migration (DMS), data center exits, migration wave planning, and strangler-fig legacy app decomposition.
AI-Augmented Development: Gemini Code Assist for code generation, pull request reviews, automated testing, and software developer productivity workflows.
Secondary & Cross-Functional Expertise Data & AI Stack Alignment: Infrastructure and application layer integration for data platforms running on BigQuery, Dataflow, and Vertex AI.
Cybersecurity Foundations: DevSecOps implementation, Google Security Operations (Chronicle), Security Command Center (SCC) alerting, and Agentic Defense architectures.
Workspace & Operational Automation: Gemini Enterprise for Workspace operational automations, Apps Script, and custom internal collaboration workflows.
Customer Experience Infrastructure: Foundational cloud architecture and API gateway configurations supporting GECX and Contact Center AI (CCAI) rollouts.

Responsibilities

Own delivery end-to-end: Serve as the single point of accountability for scope, schedule, engineering quality, platform security, and business outcomes across infrastructure and application modernization workstreams.
Design execution approaches: Define migration waves, application refactoring patterns (e.g., strangler-fig), infrastructure deployment cadences, and team structures to minimize risk and maximize velocity.
Provide technical advisory: Guide client leadership and technical teams on GCP landing zones, container orchestration, microservice architectures, API gateways, security controls, and cloud operational models.
Lead cross-border delivery teams: Coordinate onshore client engagement leadership with offshore engineering teams to set priorities, clear blockers, review code/modules, and maintain delivery pace.
Drive rapid time-to-value: Stand up delivery immediately post-sale to deploy platform foundations, migrate workloads, and refactor applications in weeks rather than quarters.
Enforce technical governance: Establish automated deployment guardrails, CI/CD pipelines, testing strategies, SRE alerting, and operational readiness checkpoints.