Google Cloud DevOps Services

Project Role : Custom Application Architect
Project Role Description : Design the application architecture of custom software systems to translate business needs into scalable secure and high-performing technical solutions.
Must have skills : Google Cloud DevOps Services
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Custom Application Architect a typical day involves designing the architecture of custom software systems that effectively translate complex business requirements into scalable secure and high-performing technical solutions. We are looking for an experienced Google Cloud Engineer (CL9) to execute cloud SaaS and infra deployments using Google Cloud Platform (GCP). In this hands-on role you will build and manage Google resources using custom Terraform modules executed via Azure DevOps pipelines. You will be responsible for integrating GCP workloads with multi-cloud environments (including Azure and AWS) and connecting applications with enterprise AI solutions hosted on other cloud platforms.

Roles & Responsibilities:
- Terraform Module Automation: Design write and maintain enterprise-grade reusable and secure Terraform modules and Infrastructure as Code (IaC) for GCP services.
- CI/CD Integration: Design build and optimize automated deployment pipelines using Azure DevOps to execute Terraform workflows and manage GCP resource lifecycles.
- Multi-Cloud Integration: Connect and integrate GCP resources with multi-cloud environments specifically Azure and AWS.
- AI Solutions Integration: Connect and integrate enterprise AI solutions hosted on external cloud platforms into GCP applications and pipelines.
- SDLC & Best Practices: Apply end-to-end SDLC practices including code reviews version control automated testing security checks and detailed documentation.

Professional & Technical Skills:
- Terraform Module Expertise: Proven hands-on experience authoring custom Terraform modules managing state files writing DRY code and managing complex module dependencies for GCP.
- DevOps & Pipelines: Extensive hands-on experience configuring and executing CI/CD deployment pipelines using Azure DevOps.
- Multi-Cloud & AI Integration: Experience integrating GCP resources with AWS/Azure as well as connecting applications with third-party/external AI services.
- SDLC: Solid understanding of software development lifecycles Agile methodology Git workflows and security guardrails.
Preferred / Good-to-Have Skills :
- GCP Ecosystem Knowledge: Broad awareness and working familiarity with the wider Google Cloud Ecosystem (e.g. core compute networking security IAM and data tools).
- GCP SaaS Offerings: Experience deploying or managing Google Cloud SaaS and managed software solutions via automated pipelines.
- Azure Knowledge: Strong working knowledge of Microsoft Azure specifically Azure Data Factory (ADF) and Azure Resource Manager (ARM).
- GCP Landing Zones: Experience with GCP Landing Zone concepts (folders projects networking IAM and org policies).
- Python: Scripting abilities in Python for automation custom GCP functions or API integrations.
- Full-Stack Development: Background in frontend and backend technologies to better support application architecture and integration needs.
- Certifications: GCP Professional Cloud Architect or GCP Professional Cloud DevOps Engineer.
Additional Information:
- The candidate should have minimum 5 years of experience in Google Cloud DevOps Services.
- This position is based at our PDC3B - SEZ location.
- A 15 years full time education is required.