Custom Application Architect

Accenture; Pune District; On-site; INR 350,000 - 550,000; Full time

Job summary

Accenture is seeking a Custom Application Architect in Pune to design the architecture of custom software systems that translate business needs into scalable, secure, and high-performing technical solutions. You will lead Terraform-based IaC for GCP, integrate with Azure DevOps pipelines, and coordinate multi-cloud workloads across AWS and Azure.

The role requires 5+ years in Google Cloud DevOps, 15 years of full-time education, and hands-on experience with Terraform, Azure DevOps, and GCP

Qualifications

• Minimum 5 year(s) of experience in Google Cloud DevOps Services.
• Experience designing cloud architectures using Google Cloud Platform (GCP).
• Knowledge of Terraform modules and IaC.
• Experience with Azure DevOps pipelines.

Responsibilities

• Terraform Module Automation: Design, write, and maintain enterprise-grade, reusable, and secure Terraform modules and 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.

Skills

Google Cloud DevOps Services

Terraform

Azure DevOps

GCP

Education

15 years full time education

Tools

Terraform

Azure DevOps

GCP

Job description

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

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.

15 years full time education

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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