We are seeking an experienced DevOps Engineer with strong expertise in AWS cloud services, CI/CD automation, infrastructure provisioning, and containerized application deployments. The ideal candidate will be responsible for building scalable cloud environments, optimizing deployment workflows, and ensuring secure and reliable infrastructure operations.

Required Skills :

- Core AWS Services

- Compute : EC2, Lambda, ECS Fargate

- Storage : S3, EBS, EFS

- Databases : RDS, DynamoDB, Aurora

- Networking : VPC, Route 53, CloudFront, ELB/ALB, Transit gateway

- Security : IAM, KMS, Secrets Manager, Security Groups

- Monitoring : CloudWatch, CloudTrail

- Infrastructure as Code (IaC) Terraform Multi-cloud provisioning

- CI/CD Pipeline Tools AWS CodePipeline, CodeBuild, CodeDeploy or GitHub Actions

- Containerization & Orchestration Docker Container creation and management

- Scripting & Programming Bash/Shell Linux automation PowerShell Windows automation

- Version Control Git Version control system

- Monitoring & Logging CloudWatch Logs & Metrics Datadog/Dynatrace

- Security Best Practices AWS Well-Architected Framework Least privilege principle Secrets

management.

Roles & Responsibilities :

- Design, implement, and maintain scalable and secure cloud infrastructure to support applications built on Django, Python, Node.js, and React.js

- Demonstrate advanced troubleshooting expertise in Azure and GCP cloud environments

Possess in-depth knowledge of Azure and GCP troubleshooting methodologies, including :

1. Advanced diagnostic techniques

2. Performance analysis

3. Root cause investigation

4. Complex system issue resolution

- Demonstrate good knowledge of Helm and Kubernetes

- Maintain a solid understanding of Azure DevOps (ADO) tools, including boards, repos, pipelines, and artifacts.

- Collaborate with development teams to streamline CI/CD pipelines, enabling seamless code deployment and faster delivery cycles.

- Conduct comprehensive monitoring (Application Insights, Log Analytics, Grafana) and advanced troubleshooting of application performance and system reliability.

- Identify and resolve complex infrastructure and cloud-related issues across Azure and GCP platforms.

- Utilize Python and Groovy for advanced troubleshooting scripts and automation tasks.

- Develop and implement proactive monitoring and diagnostic strategies for cloud infrastructure.

- Work closely with security teams to ensure tool compliance and rapid issue resolution.

- Reduce system toil through intelligent troubleshooting and automation approaches.