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AWS solution Architect

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Onsite

AWS solution Architect

Stellaspire

AWS solution Architect

Skills

DockerGitLabSplunkMachine LearningAIAWSTerraform

1 month ago

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Important information


Contract type:

Permanent

Location:

India

Work mode:

Onsite

Published on:

19 September 2026

What they need


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.

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