Senior AWS Cloud Solution Architect ( AI Platform)

We are looking for an experienced AWS Cloud Solution Architect to design and manage enterprise-scale, highly scalable, secure, and cost-efficient cloud infrastructure. The ideal candidate will have strong experience building production systems from MVP to large-scale deployment, handling heavy traffic workloads, and designing AI/real-time applications.

The role requires deep expertise in AWS architecture, microservices, DevOps automation, system scalability, monitoring, and infrastructure reliability.

Key Responsibilities

1. Cloud Architecture & System Design
- Design scalable, fault-tolerant, and cost-efficient architectures on AWS
- Design microservices-based and containerized environments
- Build high-availability and disaster recovery architectures
- Design distributed systems handling heavy traffic and real-time workloads
- Optimize system performance, latency, and reliability
- Design multi-region and auto-scaling architectures
- Select appropriate compute, storage, and database services

2. Infrastructure & DevOps Automation
- Design and implement CI/CD pipelines (GitHub Actions / GitLab CI / Jenkins)
- Implement Infrastructure as Code using Terraform or AWS CloudFormation
- Automate deployments and environment provisioning
- Implement blue/green and rolling deployment strategies
- Manage container platforms using Docker and Kubernetes (EKS/ECS)

3. AWS Infrastructure Management
Strong hands-on experience with:
- Compute services (EC2, Auto Scaling, container platforms)
- Storage solutions (object storage, block storage, caching)
- Database systems (SQL/NoSQL, high availability setup)
- Load balancing and traffic management
- Identity and access management
- API and WebSocket based systems

4. Monitoring, Logging & Reliability
- Implement system monitoring and observability
- Set up logging, audit trails, and alerting systems
- Experience with Prometheus and Grafana
- Production monitoring, incident handling, and recovery planning
- Performance tuning and capacity planning

5. Security & Compliance
- Implement cloud security best practices
- Design secure network architecture
- Manage access control and authentication systems
- Implement data protection and infrastructure security layers

6. Scalability & Performance Engineering
- Design horizontally scalable systems
- Implement caching strategies and performance optimization
- Handle high traffic and concurrent workloads
- Conduct load testing and bottleneck analysis

7. Cost Optimization
- Optimize cloud infrastructure costs
- Monitor resource usage and performance tradeoffs
- Design cost-efficient architecture without compromising reliability

8. AI / High Performance Infrastructure (Required)
- Experience deploying AI or machine learning workloads
- Understanding of GPU infrastructure and model serving
- Experience supporting computer vision or real-time processing systems is a plus

Required Experience
- 5+ years experience in AWS cloud architecture or DevOps engineering
- Strong experience building production systems from MVP to enterprise scale
- Experience managing high traffic applications
- Strong understanding of microservices architecture
- Experience with container orchestration (Docker, Kubernetes)
- Experience with Infrastructure as Code
- Experience implementing monitoring and logging solutions

Preferred Skills
- Experience with event-driven systems or message queues
- Experience with large-scale SaaS platforms
- Strong system design and architecture decision experience
- Experience mentoring engineering teams

What we expect
- Ability to design complete production infrastructure
- Strong problem solving and system thinking skills
- Ownership of architecture decisions and system reliability
- Experience working with enterprise-level workloads

Job Type: Full-time

Work Location: In person