Cloud Security Architect

Novac Technology Solutions; Chennai District; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Novac Technology Solutions is seeking a Cloud Security Architect/Manager with extensive experience across AWS, Azure, GCP, and Oracle. You will architect, implement, and govern cloud infra, leading IaC initiatives and security controls.

You will advise on cloud strategy, migration approaches, and cost optimization while mentoring teams and driving automation for faster delivery and reliability in complex environments.

Qualifications

• 12+ years in IT/Software Engineering with 8+ years in hands-on Cloud Architect role.
• Expert-level knowledge of AWS, Azure, or GCP (one or more).
• Proficient with Terraform, CloudFormation, or Bicep.
• Strong understanding of networking concepts (VPCs/VNets, subnets, routing).
• Experience with Docker and Kubernetes (EKS/AKS/GKE).
• Knowledge of security best practices (zero trust, defense in depth).
• Experience with AI/ML infra and data platforms (Snowflake, Databricks, BigQuery, Redshift, Spark).
• Excellent communication to explain designs to tech and business stakeholders.

Responsibilities

• Architect and present cloud architecture diagrams for infra, network, security, and deployments.
• Provide cloud strategy and advisory on migration approaches and cost optimization.
• Lead IaC implementation to promote automation and repeatability.
• Design and implement security controls, IAM policies, and governance.
• Architect CI/CD pipelines and foster automation for deployment and infra management.
• Mentor and guide Codvo teams on cloud technologies.

Skills

Cloud architecture

Cloud platforms

IaC

Networking & security

Containerization

Docker

Kubernetes

AI/ML infrastructure

Data infrastructure

Communication

Tools

Terraform

CloudFormation

Bicep

Job description

We are seeking for Cloud Security Architect/Manager with experience in multiple cloud platforms like AWS, Azure, GCP and Oracle.

Key Responsibilities

• Architectural Design: Design and present high-level and low-level cloud architecture diagrams and documentation for infrastructure, networking, security, and application deployments.
• Cloud Strategy & Advisory: Act as a trusted advisor on cloud strategy, including workload migration approaches (e.g., re-host, re-platform, re-factor), cloud-native development best practices, and cost optimization.
• Infrastructure as Code (IaC): Lead the implementation of cloud environments using IaC tools like Terraform or CloudFormation, promoting automation and repeatability.
• Security & Compliance: Design and implement robust security controls, identity and access management (IAM) policies, and governance frameworks to meet enterprise security and compliance requirements.
• DevOps & Automation: Architect CI/CD pipelines and promote a culture of automation for application deployment and infrastructure management, enabling developer velocity.
• Technical Leadership: Act as the senior technical expert on cloud technologies for both the client and internal Codvo teams, providing mentorship and hands-on guidance.

Required Qualifications & Skills

• Experience: 12+ years in IT/Software Engineering with at least 8+ years in a dedicated, hands-on Cloud Architect role.
• Deep Cloud Expertise: Expert-level knowledge and implementation experience with one or more major cloud platforms: AWS, Microsoft Azure, or Google Cloud Platform.
• Infrastructure as Code (IaC): Strong hands-on proficiency with Terraform, CloudFormation, or Bicep.
• Networking & Security: Solid understanding of cloud networking concepts (VPCs/VNets, subnets, routing, firewalls, load balancers) and security best practices (e.g., defense in depth, zero trust)
• Containerization & Orchestration: Deep proficiency with Docker and container orchestration platforms like Kubernetes (EKS, AKS, GKE).
• AI/ML Acumen: Good understanding of modern infrastructure for AI applications, including Retrieval Augmented Generation (RAG), and agentic solutions. Experience designing infrastructure that incorporate AI/ML systems is crucial.
• Data Architecture & Engineering Infrastructure: Practical experience provisioning. and managing modern data infrastructure tools (e.g., Snowflake, Databricks, BigQuery, Redshift, Apache Spark) and designing high-throughput storage and compute environments optimized for heavy data science model training and ETL workflows.
• Communication & Consulting: Strong ability to communicate technical designs and strategies effectively to both technical teams and business stakeholders in a consultative manner.