
Cloud Engineering Professional
1 day ago
We are seeking a highly skilled and experienced Cloud Engineering Specialist to join our team.
Job DescriptionThe ideal candidate will have a strong background in DevOps/DevSecOps practices, infrastructure as code, monitoring, and container orchestration. They will be responsible for designing, deploying, and managing production-grade cloud infrastructure on AWS.
Main Responsibilities:
- Design and deploy scalable and secure cloud infrastructure using AWS services such as VPC, IAM, RDS, EC2, ECS, S3, CloudWatch, EFS, MQ, OpenSearch, ElastiCache, ECR, CodeArtifact, Lambda, Route53, CloudTrail, and ELB.
- Operate and scale multi-region applications, ensuring high availability, fault tolerance, and disaster recovery readiness.
- Implement DevOps and DevSecOps practices with automation-first approaches for deployments, security, compliance, and monitoring.
- Manage infrastructure as code (IaC) using Terraform and Ansible.
- Leverage containerization and orchestration tools such as Docker, Docker Compose, and Kubernetes.
- Administer and optimize Linux systems, focusing on performance, security, and automation.
- Build and maintain CI/CD pipelines with GitHub Actions or Jenkins.
- Develop Python, Bash, and Shell scripts for automation, tooling, and system orchestration.
- Implement and manage network configurations, including LAN, WAN, IPv4/IPv6, VPNs, site-to-site connectivity, and firewalls.
- Leverage monitoring and observability tools such as Grafana, AWS CloudWatch, and APM solutions.
To succeed in this role, you will need the following skills and qualifications:
- A minimum of 2-3 years of experience in DevOps, Cloud Engineering, or related fields.
- Proven track record of managing AWS services at scale in production environments.
- Expertise in Terraform, Ansible, and IaC practices.
- Strong Linux administration skills, preferably with Ubuntu or Debian.
- Hands-on experience with Docker, Docker Compose, and Kubernetes for container orchestration.
- Proficiency in scripting languages, including Python, Bash, and Shell.
- Experience with CI/CD pipelines, preferably with GitHub Actions.
- Knowledge of networking fundamentals, including LAN, WAN, IPv4, IPv6, VPNs, and firewalls.
- Experience operating multi-node Elasticsearch and Kibana clusters.
- Strong problem-solving and troubleshooting abilities.
- Excellent communication and collaboration skills.
Nice to Have:
- Exposure to AI/ML-based productivity tools for DevOps workflows.
- Hands-on experience with APM tools such as New Relic or Sentry.
- Experience managing on-premise rack servers in hybrid environments.
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