GCP Solution Architect

InOpTra Digital; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Benefits offered by this job

Referral bonuses

Training and development opportunities

Job summary

A leading IT consulting firm in Bengaluru is seeking an experienced GCP Solution Architect to lead cloud solution designs and drive business value for clients. The ideal candidate has over 15 years of IT experience, with a strong focus on Google Cloud technologies and proven pre-sales expertise. This full-time role offers an opportunity to engage deeply in client interactions and take part in innovative cloud solutions.

Qualifications

• 15+ years of overall IT experience with significant focus on cloud technologies.
• 5+ years of hands-on experience with Google Cloud Platform.
• Proven track record in pre-sales activities and client-facing roles.

Responsibilities

• Design and architect end-to-end GCP cloud solutions including infrastructure.
• Lead application modernization initiatives from on-premises to GCP.
• Conduct discovery sessions to understand client requirements.

Skills

GCP Core Services

Application Development

Data & Analytics

DevOps

Security

Networking

Monitoring

Education

Google Cloud Professional Cloud Architect

Google Cloud Professional Data Engineer

Google Cloud Professional DevOps Engineer

Google Cloud Professional Security Engineer

Tools

Terraform

Google Kubernetes Engine (GKE)

Cloud Build

Cloud Functions

BigQuery

Job description

Position Overview

We are seeking an experienced GCP Solution Architect with 15+ years of comprehensive experience in cloud infrastructure, data solutions, application development, modernization, and DevOps practices. This role requires a strategic thinker with strong pre‑sales acumen and the ability to architect complex cloud solutions while driving business value for clients.

Key Responsibilities

Solution Architecture & Design

• Design and architect end‑to‑end GCP cloud solutions including infrastructure, data platforms, and application architecture
• Lead application modernization initiatives, including migration strategies from on‑premises to GCP and containerization
• Develop cloud‑native architecture leveraging GCP services such as GKE, Cloud Run, App Engine, Cloud Functions, and Anthos
• Create technical roadmaps and architecture blueprints aligned with business objectives
• Ensure solutions follow best practices for security, scalability, reliability, and cost optimization

Pre‑Sales & Client Engagement

• Lead technical discussions during pre‑sales engagements and client meetings
• Conduct discovery sessions to understand client requirements and pain points
• Develop compelling technical proposals and solution presentations
• Create proof‑of‑concepts (POCs) and technical demonstrations
• Provide effort estimation and solution sizing for proposed architectures
• Address technical objections and provide clarifications during sales cycles

SOW Development & Documentation

• Write comprehensive Statements of Work (SOW) with detailed scope, deliverables, timelines, and assumptions
• Define project phases, milestones, and success criteria
• Document technical architecture, design decisions, and implementation approaches
• Create high‑level and low‑level design documents
• Develop architecture decision records (ADRs) and technical specifications

Data & Analytics

• Design data architecture using BigQuery, Cloud SQL, Cloud Spanner, Bigtable, and Firestore
• Architect data lakes, data warehouses, and data pipelines on GCP
• Implement ETL/ELT solutions using Dataflow, Dataproc, Cloud Composer, and Pub/Sub
• Design analytics and business intelligence solutions
• Implement data governance, security, and compliance frameworks

DevOps & Automation

• Design and implement CI/CD pipelines using Cloud Build, Jenkins, GitLab CI, or similar tools
• Architect infrastructure‑as‑code solutions using Terraform, Deployment Manager, or Pulumi
• Implement monitoring and observability solutions using Cloud Monitoring, Cloud Logging, and Cloud Trace
• Design containerization and orchestration strategies using Docker and Kubernetes (GKE)
• Establish DevOps best practices including GitOps, site reliability engineering (SRE), and automation

Leadership & Collaboration

• Mentor junior architects and technical teams
• Collaborate with cross‑functional teams including developers, data engineers, and operations
• Provide technical leadership throughout project lifecycles
• Stay current with GCP innovations and industry trends
• Participate in architecture review boards and governance discussions

Experience & Qualifications

Required Qualifications

• 15+ years of overall IT experience with significant focus on cloud technologies
• 5+ years of hands‑on experience with Google Cloud Platform
• Proven track record in pre‑sales activities and client‑facing roles
• Extensive experience in SOW creation and technical documentation
• Experience with large‑scale enterprise cloud migrations and transformations

Technical Skills

• GCP Core Services: Compute Engine, Cloud Storage, VPC, Cloud IAM, Cloud CDN, Cloud Load Balancing
• Application Development: Cloud Run, GKE, App Engine, Cloud Functions, API Gateway
• Data & Analytics: BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Composer, Dataproc
• DevOps: Cloud Build, Terraform, Kubernetes, Docker, CI/CD pipelines, GitOps
• Security: Cloud Security Command Center, Cloud KMS, IAM, VPC Service Controls, security best practices
• Networking: VPC design, hybrid connectivity (Cloud VPN, Cloud Interconnect), network security
• Monitoring: Cloud Monitoring, Cloud Logging, Cloud Trace, APM tools

Certifications (Preferred)

• Google Cloud Professional Cloud Architect
• Google Cloud Professional Data Engineer
• Google Cloud Professional DevOps Engineer
• Google Cloud Professional Security Engineer
• Additional relevant certifications are a plus

Soft Skills

• Excellent communication and presentation skills
• Strong stakeholder management abilities
• Analytical thinking and problem‑solving expertise
• Ability to translate business requirements into technical solutions
• Experience working in agile environments
• Customer‑focused mindset with consultative approach

Preferred Qualifications

• Experience with multi‑cloud architecture (AWS, Azure)
• Knowledge of application modernization patterns and microservices
• Familiarity with data science and ML/AI workloads on GCP (Vertex AI, AI Platform)
• Experience with compliance frameworks (HIPAA, PCI‑DSS, GDPR, SOC 2)

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

IT Services and IT Consulting