GCP Cloud Architect - Austin TX (5 Days onsite
Job in
Austin, Travis County, Texas, 78701, USA
Listed on 2026-08-05
Listing for:
E-Solutions
Full Time
position Listed on 2026-08-05
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Systems Engineer
Job Description & How to Apply Below
GCP Architect (Google Cloud Platform)
Location:
Austin, TX (onsite)
Experience:
12–18+ Years
Domain:
Telecommunication
Job Description:
Key Responsibilities:
- Design and own end-to-end enterprise-grade cloud architecture on GCP, define and implement cloud landing zones, org structure, IAM hierarchy, and governance models, architect highly scalable, fault-tolerant, distributed systems on GCP
- Design and implement microservices and event-driven architectures, lead cloud modernization programs (refactor, re-platform, re-architect legacy systems) design multi-region / multi-zone high availability and disaster recovery (DR) architectures
- Architect and enforce API-led integration strategies using REST / GraphQL / event streaming, design secure cloud networks (VPC, Shared VPC, hybrid connectivity) lead CI/CD architecture and Dev Sec Ops pipeline standardization
- Define Infrastructure as Code (IaC) standards and automation frameworks, drive observability architecture (logging, monitoring, tracing, alerting) conduct architecture reviews, design governance, and technical solution validations, integrate enterprise systems, ERP platforms, and third-party services into GCP ecosystem, provide technical leadership across distributed global teams (onsite/offshore)
Technical / Mandatory
Skills:
- Expert in Google Cloud Platform (GCP):
Compute Engine, GKE, Cloud Run, App Engine, Cloud Functions, strong in GCP networking & security: VPC, Subnets, Firewall, Shared VPC, Load Balancing, IAM, Org Policies, Cloud DNS/NAT, Interconnect/VPN - Experience in designing GCP Landing Zones and enterprise cloud foundations
- Strong expertise in Microservices architecture (DDD preferred) and Event-driven systems (Pub/Sub, Kafka equivalent) hands-on experience in API design (REST, GraphQL, API Gateway patterns) and distributed system design
- Strong knowledge of data platforms:
Big Query, Spanner, Cloud SQL, Firestore, Dataflow, Dataproc - Expertise in CI/CD pipelines (Cloud Build, Jenkins, Git Lab CI, ArgoCD) and Git-based release workflows
- Strong in Infrastructure as Code using Terraform (mandatory), Docker, and Kubernetes (GKE) strong understanding of security architecture:
Zero Trust, encryption, KMS, Secrets Manager, compliance at scale
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