Job Details

Overview

The Platform Engineer collaborates with development and operations teams to enable seamless integration, deployment, and monitoring of applications across different environments. The role also requires a strong understanding of system architecture, infrastructure as code, and operational efficiency.

Job Description

The Platform Engineer is responsible for designing, building, and maintaining the underlying infrastructure and platforms that support software applications and services. This role involves working with cloud technologies, automation tools, and CI/CD pipelines to ensure that platforms are scalable, reliable, and secure.

Education

Bachelors degree in Computer Science, Information Technology, or a related field. Professional certifications in cloud platforms or DevOps tools (e.g., AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect) are a plus.

Roles and Responsibilities

1. Design
2. implement
3. and manage cloud infrastructure
4. Build and maintain CI/CD pipelines for seamless application delivery
5. Automate system provisioning and configurations using Infrastructure as Code
6. Monitor system performance
7. availability
8. and security
9. Troubleshoot and resolve platform issues
10. Collaborate with development and operations teams to support application deployment
11. Maintain high availability and disaster recovery plans
12. Ensure scalability of the platform to meet demand
13. Manage and optimize containerized environments using Docker and Kubernetes
14. Implement security best practices across the platform
15. Create and manage networking and storage configurations in cloud environments
16. Implement logging and monitoring to ensure proactive issue resolution
17. Continuously evaluate and improve platform performance
18. Participate in on-call rotation for platform support
19. Keep up-to-date with emerging platform technologies and tools.

Required Skills

1. Cloud platforms (AWS
2. Azure
3. Google Cloud)
4. Infrastructure as Code (Terraform
5. CloudFormation)
6. CI/CD pipelines
7. Linux/Unix administration
8. Automation tools
9. Kubernetes
10. Docker
11. Networking
12. Monitoring and logging tools (e.g.
13. Prometheus
14. Grafana
15. ELK stack)
16. Scripting languages (Bash
17. Python
18. Shell)
19. DevOps practices
20. System architecture
21. Virtualization
22. Security best practices
23. Git
24. Collaboration
25. Troubleshooting
26. Performance optimization
27. Configuration management tools (e.g.
28. Ansible
29. Puppet
30. Chef)
31. High availability
32. Disaster recovery planning
33. Scalability
34. Load balancing.