S
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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