Key Responsibilities
Development & Build: Build and maintain a robust, scalable AWS infrastructure.
AWS Services: Strong knowledge of AWS services.
Observability & Performance Monitoring: Continuous monitoring, alerting and
troubleshooting using tools like CloudWatch Prometheus, Grafana, Datadog to ensure
optimal functionality.
Collaboration: Work closely with cross-functional teams and support existing
implementations.
Version Control: Manage code using GitHub, ensuring best practices in version
control are followed.
Infrastructure as Code (IaC): Apply expertise in Terraform for efficient
infrastructure management.
CI/CD Practices: Implement robust CI/CD pipelines using GitHub Actions to
automate deployment workflows.

Mandatory Skillsets
The candidate must have:
Strong proficiency in AWS services, including IAM Roles, Access Control RBAC,
S3, Containerized Lambda Functions, VPC, Security Groups, RDS, NACL,
CloudWatch, Route53, DNS, Load Balancers, Directory Services and Identity
Federation, AWS Tagging Configuration,



Certificate Management, etc.
Hands-on experience in Kubernetes (EKS), with expertise in Imperative and
Declarative approaches for managing resources/services like Pods, Deployments,

Secrets, ConfigMaps, DaemonSets, Services, IRSA, Helm Charts, and deployment
tools like ArgoCD.
Expertise in Datadog, including integration, monitoring key metrics and logs, and
creating meaningful dashboards and alerts.
Strong understanding of Docker, including containerisation and image creation.
Programming skills in Python, Java and Go, capable of writing productive scripts.
Familiarity with Git concepts for version control.
Deep knowledge of Infrastructure as Code principles, particularly Terraform.
Experience with CI/CD tools, specifically GitHub Actions & Workflows.
Understanding of security best practices, including knowledge of Snyk, Sonar
Cloud, Code Scene, etc

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