AI Solution Architect I (IN)

Strong hands-on experience with AWS services and cloud architecture.

Expertise in CI/CD, Infrastructure as Code (Terraform/CloudFormation), and automation.

Experience with monitoring and observability tools such as CloudWatch, Grafana, Splunk, Datadog, or Prometheus.

Strong troubleshooting and root cause analysis skills.

Experience with container platforms (Docker, ECS, EKS, Kubernetes).

Solid understanding of networking, security, scalability, and reliability principles.

Excellent problem-solving, communication, and stakeholder management skills.

Design, implement, and manage secure, scalable, and highly available AWS infrastructure using cloud-native services and Infrastructure as Code.

Build and optimize CI/CD pipelines to enable automated, reliable, and efficient application and infrastructure deployments.

Proactively identify, troubleshoot, and resolve infrastructure-related issues, production incidents, and AWS platform challenges.

Analyze and remediate application performance bottlenecks, including latency, availability, capacity, connectivity, and resource utilization issues.

Drive operational excellence through monitoring, observability, automation, root cause analysis (RCA), and continuous service improvement.

Enhance platform resiliency and scalability by implementing high availability, disaster recovery, fault tolerance, and performance optimization strategies.

Provide architectural guidance and technical leadership by designing sustainable solutions to complex infrastructure and application challenges while promoting AWS and DevOps best practices.