Cloud Solution Architect

Cloudly Inc; India; On-site; INR 6,679,389 - 10,496,183; Full time

Benefits offered by this job

Competitive salary

Two annual bonuses

Health insurance

Fully subsidized meals

Job summary

Cloudly Inc is looking for a Cloud Solution Architect to lead the design of cloud infrastructures for enterprise AI products in India. This role involves hands-on architectural decisions regarding AWS, Azure, and GCP cloud platforms. The successful candidate will ensure scalability, security, and compliance in a fast-paced environment.

Key responsibilities include leading architectural reviews, designing high availability systems, and establishing cloud governance frameworks. Candidates should have significant experience in cloud environments and strong leadership skills.

Qualifications

• 5 or more years of professional experience in cloud architecture and infrastructure.
• Deep hands-on experience with AWS services like EC2, S3, and Lambda.
• Security architecture depth including IAM and compliance frameworks.

Responsibilities

• Design end-to-end cloud architecture solutions for enterprise products.
• Lead architectural reviews and ensure adherence to cloud best practices.
• Implement Infrastructure as Code using Terraform and CloudFormation.

Skills

Cloud architecture expertise

Hands-on delivery accountability on multiple cloud platforms

AWS experience

Azure knowledge

GCP understanding

Infrastructure as Code proficiency

Container orchestration

Security architecture depth

Database architecture experience

Cloud cost optimization

DevOps principles

Education

Bachelor's or Master's degree in Computer Science or Engineering

Tools

Terraform

CloudFormation

Prometheus

Grafana

CloudWatch

Datadog

Job description

As Cloud Solution Architect at CloudlyIO, you will be the technical authority behind the cloud infrastructure that powers our enterprise AI products and serves our global customers. You will design end-to-end cloud architectures across AWS, Azure, and GCP, establishing the scalability, security, and cost discipline that mission‑critical AI deployments demand. This is not a role for someone who designs in theory and hands off to others. You will own architectural decisions from initial assessment through implementation, and you will be accountable for their outcomes. CloudlyIO's products touch telecommunications operators, hospital systems, and industrial enterprises: the infrastructure you design has to be right.

Job Requirement

• Design end-to-end cloud architecture solutions for CloudlyIO's enterprise products and clients across AWS, Azure, and GCP, covering compute, networking, storage, security, and data layers
• Lead architectural reviews and ensure adherence to cloud best practices, security standards, and compliance requirements across all environments
• Design scalable, highly available, and cost‑optimized cloud infrastructures that support mission‑critical AI workloads including real‑time inference, multi‑tenant SaaS platforms, and edge‑integrated deployments
• Implement Infrastructure as Code using Terraform, CloudFormation, and ARM Templates, establishing repeatable, auditable, and version‑controlled infrastructure provisioning
• Design multi‑cloud and hybrid cloud architectures that ensure seamless integration across platforms and customer deployment environments
• Establish cloud governance frameworks covering security policies, compliance standards (HIPAA, SOC2, GDPR, PCI DSS), and FinOps cost management practices
• Collaborate with security teams to implement Zero Trust Architecture, IAM policies, KMS‑based encryption, WAF configurations, and defense‑in‑depth controls
• Design disaster recovery, backup, and business continuity strategies appropriate for enterprise healthcare, telecom, and industrial customer SLAs
• Design and implement monitoring, logging, and observability frameworks using Prometheus, Grafana, CloudWatch, and Datadog
• Create and maintain architecture documentation, design patterns, and reference architectures that engineering teams can build from with confidence
• Conduct cloud architecture assessments and deliver optimization recommendations covering reliability, security, performance, and cost
• Provide technical leadership and mentorship to engineering teams on cloud architecture principles and best practices
• Evaluate and recommend cloud services, tools, and technologies aligned with CloudlyIO's product roadmap and customer requirements

YOU MAY BE A GOOD FIT IF YOU HAVE

• 5 or more years of professional experience in cloud architecture and infrastructure, with hands‑on delivery accountability across multiple cloud platforms
• Deep hands‑on experience with AWS including EC2, EKS, S3, VPC, IAM, RDS/Aurora, Lambda, CloudFront, WAF, Route53, and DynamoDB
• Strong working knowledge of Azure including App Services, Functions, VNet, Application Gateway, and API Management
• Working knowledge of GCP including Compute Engine, GKE, Cloud Storage, and BigQuery
• Proficiency in Infrastructure as Code using Terraform, CloudFormation, and ARM Templates
• Hands‑on experience with container orchestration across Kubernetes, EKS, GKE, AKS, ECS, and Fargate
• Security architecture depth: IAM, KMS, WAF, SSL/TLS, certificate management, Zero Trust Architecture, and compliance frameworks including HIPAA, SOC2, GDPR, and PCI DSS
• Strong networking fundamentals: VPC design, routing, subnetting, peering, ALB/NLB, VPN, DirectConnect, ExpressRoute, and DNS management
• Database architecture experience across SQL (MySQL, PostgreSQL, SQL Server, Oracle) and NoSQL (DynamoDB, MongoDB, Cosmos DB)
• Experience with cloud cost optimization and FinOps practices
• Strong understanding of DevOps principles and CI/CD pipelines
• Experience working with AI tools to accelerate productivity and architectural work

PREFERRED QUALIFICATIONS

• Cloud certifications: AWS Solutions Architect, Azure Solutions Architect Expert, or GCP Professional Cloud Architect
• Experience with service mesh technologies such as Istio or Linkerd
• Knowledge of Site Reliability Engineering practices and principles
• Experience with data analytics and big data platforms
• Familiarity with chaos engineering and resilience testing methodologies
• Strong presentation and stakeholder management skills across technical and executive audiences
• Experience working in agile or scrum‑based engineering environments
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

COMPENSATION & BENEFITS

• Salary: Competitive and negotiable based on experience
• Two annual festive bonuses, each equivalent to half a month's salary
• Two‑day weekends, 10 days casual leave, 10 days sick leave, and 14 public holidays per CloudlyIO's global holiday calendar
• Fully subsidized lunch and evening snacks, plus tea and coffee throughout the day
• Health insurance
• Direct collaboration with US clients and teams, working on real enterprise AI infrastructure from day one