Role Description

– GCP Cloud Architect (L4)

Function: Digital Engineering

Role Level: Cloud Architect – GCP (L4)

Location: Offshore

Role Overview The GCP Cloud Architect (L4) is responsible for defining and leading the architecture of enterprise-scale cloud platforms on Google Cloud Platform (GCP). This role requires deep expertise in GCP services, Kubernetes (GKE), and cloud-native architectures. The architect will drive design standards, scalability, security, and innovation across cloud ecosystems while enabling engineering teams to build resilient and high-performing solutions.

Key Responsibilities

- Define and own end-to-end cloud architecture for distributed systems on GCP.
- Architect scalable, secure, and high-availability solutions using core GCP services.
- Design and implement Kubernetes-based platforms using GKE for microservices and containerized workloads.
- Lead architecture for CI/CD, infrastructure automation, and DevSecOps practices.
- Drive infrastructure design using Infrastructure as Code (Terraform).
- Establish best practices for cloud networking, IAM, security, and governance.
- Architect microservices, API-first, and event-driven systems.
- Define observability frameworks including logging, monitoring, and tracing.
- Collaborate with application, data, and AI/ML teams to design cloud-native solutions.
- Provide technical leadership, mentorship, and governance across engineering teams.




- Drive cost optimization, performance tuning, and reliability improvements.
- Support adoption of up-to-date engineering practices such as SRE, GitOps, and automation.

Required Skills And Experience

- 8–10 years of experience in cloud architecture, platform engineering, or DevOps roles.
- Strong expertise in GCP architecture and core GCP services (Compute Engine, GKE, Cloud Storage, BigQuery, IAM, VPC).
- Hands-on experience with Kubernetes and Google Kubernetes Engine (GKE).
- Proven experience designing scalable, resilient, and secure cloud-native applications.
- Expertise in Infrastructure as Code (Terraform).
- Strong understanding of microservices, API design, and distributed systems.
- Knowledge of CI/CD pipelines and DevSecOps practices.
- Deep understanding of cloud networking, RBAC, identity, secrets, policies, and zero-trust principles.
- Experience in observability tools and practices (monitoring, logging, tracing).
- Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

- Google Cloud Professional Cloud Architect certification.
- Experience with GenAI application architecture on GCP.
- Hands-on experience with Vertex AI and AI/ML solution design.
- Familiarity with data engineering and analytics workloads on GCP.
- Experience with GitOps tools and SRE practices.

📌 GCP Cloud Architect (Bengaluru)
🏢 Tredence
📍 Bengaluru