About the Role

We are seeking an AWS Solutions Architect who will design, implement, and scale enterprise-grade cloud systems supporting Generative AI and data-driven workloads. This position demands strong expertise in distributed systems, cloud-native architecture, and AWS technologies. You’ll ensure performance, reliability, and compliance across complex environments while collaborating closely with product, DevOps, and AI teams to deliver secure, production-ready solutions.

Your Responsibilities & Impact

Enterprise Architecture & System Design

• Design secure, scalable, and resilient architectures for AI-powered and cloud-native applications.

• Lead architectural reviews to ensure alignment with AWS Well-Architected Framework principles, emphasizing security, performance, reliability, cost efficiency, and operational excellence.

• Implement high-availability, multi-region strategies using ALB/NLB, Route53, ECS/EKS, and RDS.

• Develop detailed system and sequence diagrams mapping integrations across application, data, and AI layers.

Scalability, Reliability & Performance

• Architect distributed systems capable of handling high throughput and concurrency.

• Apply microservices and event-driven design patterns using AWS Lambda, SQS, SNS, and EventBridge.

• Utilize caching, auto-scaling, and load balancing techniques to ensure consistent performance.

• Conduct system performance analysis and cost optimization through capacity planning.

Security, Compliance & Governance

• Design end-to-end security frameworks covering IAM, encryption (KMS), VPC isolation, and private networking.

• Deploy AWS WAF, GuardDuty, and Security Hub for proactive threat detection and response.

• Maintain compliance with SOC 2, ISO 27001, GDPR, and sector-specific standards (e.g., BFSI, Telco).

• Implement secure CI/CD pipelines with vulnerability scanning, secret management, and policy enforcement.

Infrastructure as Code & Automation

• Build and maintain Infrastructure as Code (IaC) using Terraform for consistent multi-environment deployment.

• Develop modular Terraform components for compute, networking, and data infrastructure.

• Employ GitOps workflows to manage environment releases across QA, staging, and production.

• Automate blue-green and canary deployments to ensure zero downtime for critical updates.

API & Data Layer Architecture

• Design REST and GraphQL APIs with built-in authentication, throttling, and observability.

• Architect data storage solutions combining relational (PostgreSQL/RDS), NoSQL (DynamoDB, MongoDB), and vector databases.

• Implement encryption, retention, and auditing policies to meet enterprise governance requirements.

• Build real-time and batch data pipelines integrated with AI models and analytics systems.

Observability, Monitoring & Incident Response

• Set up end-to-end observability using CloudWatch, Prometheus, and OpenTelemetry.

• Define SLAs, SLOs, and error budgets for critical services.

• Develop incident response playbooks, automated alerting, and operational runbooks.

• Implement FinOps practices with cost visibility dashboards and optimization strategies.

Technical Leadership & Collaboration

• Provide architectural guidance and mentorship to engineers and DevOps professionals.

• Lead architecture review boards to ensure scalability, security, and design consistency.

• Partner with cross-functional teams (AI/ML, Security, Product, Data) to align technology with business goals.

• Clearly communicate architecture decisions through documentation, presentations, and workshops.

Requirements

Must-Have Skills

• 8+ years of experience in software architecture, cloud infrastructure, or distributed systems.

• Extensive hands-on experience with AWS (EC2, ECS, EKS, Lambda, RDS, S3, API Gateway, CloudFormation/Terraform).

• Proven success designing and delivering highly available, large-scale production systems.

• Strong programming background in Python and Node.js, particularly in backend/API development.

• Deep understanding of secure system design and compliance requirements in enterprise settings.

• Excellent communication and documentation skills, with the ability to convey complex ideas clearly.

Nice-to-Have Skills

• AWS Certified Solutions Architect (Professional) or AWS Security Specialty certification.

• Experience managing AWS Organizations and landing zone setups.

• Familiarity with AI/ML pipelines on SageMaker or Bedrock, focusing on scalable serving infrastructure.

• Industry knowledge in telecom, banking/finance, or other regulated sectors.

• Background in DevSecOps and continuous compliance automation.

What We Offer

• Impact-Driven Work – Contribute to real-world AI solutions that create measurable business results.

• Career Growth – Access continuous learning, mentorship from industry experts, and clear development paths.

• Competitive Rewards – Receive market-leading salary, benefits, and performance incentives.

• Collaborative Culture – Work with a curious, high-performing team that values ownership and integrity.

• Global Opportunities – Gain exposure to international projects and travel opportunities.