
AWS Lead Engineer
2 weeks ago
Experience : 9 years
Location : Remote
Skills Required : Terraform ,AWS Services ,CloudWatch, DNS, Application Load Balancer, CICD PIEPLINE, (Infrastructure exp is must), Kubernetes, Github , CICD
Key Responsibilities :
AWS Infrastructure & Services :
- Architect, deploy, and manage scalable and secure cloud infrastructure using AWS.
- Expertise in AWS core services : IAM, VPC, S3, RDS, Lambda (Containerized), Security Groups, MemoryDB, NACL, CloudWatch, DNS, NLB, Directory Services, Identity Federation, Tagging, and Certificate Management.
- Configure and manage Application Load Balancers and networking policies.
Kubernetes & Containerization :
- Deploy and manage applications on EKS (Elastic Kubernetes Service).
- Handle Pods, Deployments, Services, Config Maps, Secrets, IRSA, Daemon Sets using both imperative and declarative approaches.
- Use Helm charts for Kubernetes packaging and deployment via Argo CD.
Monitoring & Observability :
- Implement end-to-end observability using Datadog for metrics, logging, dashboard creation, and alerting.
Automation & Scripting :
- Develop automation scripts and internal tooling using Python and Go.
- Build and maintain robust CI/CD pipelines using GitHub Actions.
Infrastructure as Code :
- Provision and manage infrastructure using Terraform with reusable and modular codebases.
Security & Code Quality :
- Enforce security best practices using tools like Snyk, SonarCloud, and Code Scene for vulnerability scanning and code quality analysis.
- Support DevSecOps practices and ensure secure deployment workflows.
Required Skills & Experience :
AWS Services Expertise :
- IAM, S3, VPC, RDS, Lambda (Containerized), Security Groups, Memory DB, NACL, CloudWatch, DNS, NLB, Directory Services, Identity Federation, AWS Tagging & Certificate Management ,Kubernetes (EKS)
- Managing Pods, Deployments, Services, Config Maps, Secrets, IRSA, Daemon Sets using Imperative and Declarative methods.
- Experience with Helm Charts and deployment via Argo CD.
Monitoring & Observability :
- Strong experience with Datadog : metric/log monitoring, dashboard creation, alerting.
Scripting & Development :
- Proficiency in Python and Go for automation and tooling.
DevOps Tools & Practices :
- CI/CD using GitHub Actions
- Git for version control
- Infrastructure provisioning via Terraform
Security & Code Quality :
- Familiarity with Snyk, Sonar Cloud, and Code Scene for code scanning and security best practices.
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