Cloud Platform Architect

Fractal Analytics Private Limited; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Fractal Analytics Private Limited is seeking a Senior Platform Architect to lead the design, deployment, and optimization of cloud-based platforms for data and analytics workloads in Bengaluru. You will collaborate with engineering, security, and IT teams to implement scalable, secure, and cost-effective solutions.

The role requires hands-on experience with cloud providers, IaC tools, and DevOps practices, along with strong scripting and database knowledge.

Qualifications

• Experience designing and deploying cloud-based platforms in data/analytics environments.
• Strong hands-on with IaC and configuration management tools.
• Proven ability to optimize cloud costs while maintaining security and compliance.

Responsibilities

• Design, develop, and deploy modular cloud-based systems for data/analytics workloads.
• Implement and maintain cloud solutions following best practices and policies.
• Ensure efficient operation of storage, compute, and networking resources with security in mind.
• Identify and resolve infrastructure vulnerabilities and deployment issues.
• Automate infrastructure deployment using Terraform, Terragrunt, and Ansible/Jenkins.

Skills

Git & Bitbucket

Python & Java

Cloud platforms

DevOps tools

Kubernetes & Docker

SQL databases

Tools

Terraform

Terragrunt

dbt

Datadog

Ansible

Jenkins

Maven

SonarQube

Job description

Platform Architect It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business.

About the Role

We are looking for a Platform Architect to join our team and work closely with engineering, infrastructure, and security teams to implement, optimize, and maintain our cloud-based platforms—especially in the data and analytics space. You will be responsible for deploying, debugging, and supporting cloud systems, automating infrastructure, and ensuring secure, scalable, and cost-effective solutions.

Key Responsibilities

• Design, develop, and deploy modular cloud-based systems with a focus on data and analytics workloads.
• Implement and maintain cloud solutions following industry best practices and company policies.
• Ensure efficient operation of data storage and compute resources, aligned with cloud security standards.
• Identify and resolve infrastructure vulnerabilities and deployment issues.
• Continuously review and improve existing systems and infrastructure.
• Collaborate with internal teams and clients to provide cloud support and recommend solutions.
• Automate infrastructure deployment using tools like Terraform, Terragrunt, and configuration management tools (Ansible, Puppet, Chef).
• Work with DevOps and ITIL practices to streamline operations and deployments.
• Support secure and cost-optimized cloud implementations in collaboration with Enterprise Architecture and Cybersecurity teams.
• Document cloud infrastructure strategies, standards, and best practices.
• Provide technical guidance to development teams on cloud-native engineering.
• Design, build, and maintain scalable, secure, and highly available platform infrastructure.
• Develop and improve cloud-native platforms, automation frameworks, and deployment pipelines.
• Implement and manage Infrastructure as Code (IaC) solutions.
• Monitor platform performance, reliability, and security, and proactively resolve issues.
• Collaborate with development, security, and operations teams to optimize application delivery.
• Establish platform standards, best practices, and operational procedures.
• Lead incident response, root cause analysis, and continuous improvement initiatives.
• Mentor engineers and provide technical guidance on platform architecture and operations.

Skills & Experience

• Experience with source control tools such as Git, GitHub, Bitbucket.
• Proficiency in scripting languages (e.g., Python, Java), RDBMS (Oracle/MySQL), and message queues.
• Strong understanding of cloud concepts and hands‑on experience with AWS , Azure , or GCP .
• Minimum 3–5 years of experience in cloud engineering and infrastructure deployment.
• Solid knowledge of cloud infrastructure, including security, cost optimization, and automation.
• Familiarity with IT infrastructure domains: compute, storage, networking, and service delivery.
• Experience with compliance and security standards in enterprise environments.
• Hands‑on experience with DevOps tools: Ansible, Docker, GitHub, Jenkins, Kubernetes, Maven, SonarQube.
• Mandatory experience with the following cloud services:
• Google Cloud : BigQuery, Cloud Storage, Cloud Functions, Dataflow, Cloud SQL, Firestore, Cloud Composer, Compute Engine, App Engine, Kubernetes Engine, Cloud Run, Data Catalog, Pub/Sub, Vertex AI
• AWS : Redshift, S3 Buckets, Lambda Functions
• Azure : Blob Storage, SQL Database
• Other Tools : Terraform, Terragrunt, dbt, Datadog

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Experience Level Senior Level