Senior GCP Cloud & Integration Architect

VDart, Inc.

Greenwood Village, CO, United States

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

4 years minimum

Compensation

$170,000.0 - $220,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure BigQuery Cloud Computing Cloud Computing Security Cloud Database Cloud Engineering Continuous Integration Data Centers

+40 more

DevOps Data Flow Control Identity and Access Management Network Security Enterprise Messaging Systems Octopus Deploy Reliability Engineering Ansible Prometheus Distributed Caching Virtual Machines Network Switches Cloud-native Network Functions (CNF) Google Cloud Enterprise Software Applications Cloud Platform System Kubernetes Helm Charts Multi-Cloud HybridCloud Apigee Infrastructure as Code (IaC) Build Server Event Driven Architecture Gitlab-ci Git Flow Kubernetes Infrastructure Automation Frameworks Deployment Automation Enterprise Integration Integration Frameworks Apache Kafka Hardware Infrastructure Cloud Integration Api Gateway Firewall Services Module Terraform Api Management Serverless Computing Confluent Microservices

Job description

Lead the architecture, design, and governance of enterprise Google Cloud Platform (GCP) solutions supporting large-scale digital transformation and modernization initiatives.
Design hybrid cloud architectures integrating GCP environments with on-premises data centers, enterprise applications, third-party platforms, and multi-cloud ecosystems.
Establish scalable integration patterns leveraging APIs, microservices, event-driven architectures, and cloud-native services.
Lead workload modernization initiatives, including migration of legacy applications, virtual machines, and services to GKE, Cloud Run, and other cloud-native platforms.
Define migration strategies, deployment roadmaps, transition architectures, and cutover plans to enable seamless technology transformation.
Architect and implement event-driven integration frameworks using Google Cloud Pub/Sub, Eventarc, Kafka, and related messaging technologies.
Design enterprise data integration and ingestion solutions utilizing BigQuery, Cloud Dataflow, Cloud SQL, Cloud Spanner, and associated cloud data services.
Establish API management standards, service communication models, and reusable integration frameworks across enterprise platforms.
Drive Infrastructure as Code (IaC) adoption utilizing Terraform, Terragrunt, Ansible, and GitOps-based delivery methodologies.
Partner with DevOps, Site Reliability Engineering (SRE), and application teams to implement scalable CI/CD pipelines and deployment automation practices.
Define and enforce cloud security, governance, compliance, identity management, encryption, and observability standards.
Lead architecture reviews, technical design workshops, and governance forums to ensure alignment with enterprise technology strategies.
Collaborate with business stakeholders, engineering leaders, and delivery teams to translate strategic objectives into scalable technology solutions.
Mentor development, platform engineering, and integration teams on cloud-native architecture, engineering best practices, and enterprise integration standards., Role: Java GCP Lead (Vertex AI) Location: Denver, CO (Hybrid) The Technical Lead Development role is responsible for driving the overall technical strategy of a development lan…
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Requirements

Cloud Platform Expertise: 8+ years in enterprise IT architecture, with 4+ years of dedicated, hands-on design and implementation experience on Google Cloud Platform (GCP).
Certifications: Google Cloud Certified Professional Cloud Architect or Professional Cloud Network/Security Engineer.
Integration Patterns: Proven expertise in API gateway architectures (Apigee / Cloud Endpoints), event-driven systems (Pub/Sub, Kafka), distributed caching, and synchronous vs. asynchronous integration patterns.
Containers & Orchestration: Deep expertise in Kubernetes/GKE, container networking, ingress controllers, Helm charts, and service meshes.
Infrastructure Automation: Production-level fluency with Terraform, GitOps workflows, and configuration management tools.
Networking & Security: Practical knowledge of GCP Shared VPCs, Cloud Interconnect, firewall rules, Private Service Connect, and Cloud Armor.

Nice to Have (But Not a Must):

Google Cloud Professional Cloud Architect, Professional Cloud Network Engineer, Professional Cloud Security Engineer, or equivalent cloud certifications.
Experience with Apigee, Cloud Endpoints, Kafka, Confluent, OpenTelemetry, Prometheus, and enterprise observability platforms.
Experience implementing GitOps practices and CI/CD tooling such as GitLab CI, Cloud Build, ArgoCD, or equivalent platforms.
Experience with multi-cloud environments spanning GCP, AWS, Azure, and on-premises infrastructure.
Familiarity with OSS/BSS platforms, billing systems, provisioning systems, inventory management, and operational support environments.
Experience supporting large-scale cloud migration, application modernization, and enterprise integration transformation programs.
Knowledge of FinOps practices, cloud cost management, and resource optimization strategies.