AWS Solutions Architect

Location: Bengaluru, India

We are looking for a candidate with 10+ years of experience in enterprise application delivery, ideally within a regulated environment such as Banking, Financial Services, Insurance or other highly regulated industries.

Mandatory Experience:

- Application development, performance optimisation, caching strategies, and container-based deployments on AWS using ECS, Docker, GitLab CI/CD and AWS-native DevOps tooling.

- Advanced AWS networking, including VPC design, Transit Gateway, Cloud WAN, routing, segmentation and multi-account connectivity.

- Enterprise-scale networking architectures including hub-and-spoke models using AWS Transit Gateway and AWS Cloud WAN for multi-account environments.

- Security and perimeter protection using AWS Network Firewall, Gateway Load Balancers (GWLB), centralised ingress/egress inspection and zero-trust security patterns.

- Identity and Access Management (IAM), including IAM policies, Service Control Policies (SCPs), IAM Identity Center and least-privilege access models within regulated environments.

- Infrastructure as Code (IaC) using Terraform, with experience building clean, reusable and composable infrastructure modules.

- Cloud Operations, Reliability and Observability using CloudWatch, Splunk and related monitoring platforms.

- Design of highly available, fault-tolerant and resilient cloud architectures across multiple AWS Availability Zones.

- Experience implementing Disaster Recovery (DR), backup, failover, resilience and business continuity patterns.

- Strong understanding of cloud security, governance, risk and controls within enterprise environments.

- Experience supporting production systems and leading technical troubleshooting, root cause analysis and performance optimisation activities.

Desirable Experience:

- Experience with AI/ML platforms on AWS, preferably Amazon Bedrock.

- Knowledge of Retrieval Augmented Generation (RAG), vector search and enterprise AI architecture patterns.

- Understanding of AI security, governance, observability and responsible AI controls.

- Experience integrating AI capabilities into cloud-native applications and platforms.

- Familiarity with agentic architecture patterns and API-first AI integrations.