AWS – Cloud DevOps Engineer - AU - Sydney
Job Summary
Job Description
This role involves implementing the organization's cloud strategy, including design, planning, integration, maintenance, and support of cloud architecture. Responsibilities include working with stakeholders to evaluate cloud systems, ensuring adherence to security policies, creating well-designed software features, addressing bugs and performance bottlenecks, collaborating with engineering teams on various projects, implementing infrastructure as code (CloudFormation, Terraform), and automating DevOps best practices (CI/CD, IaC, Containerization). The ideal candidate will have extensive knowledge of cloud services, methodologies, and tools, and experience with Linux/Windows administration, scripting (Bash/PowerShell/Python), and troubleshooting technical challenges for customers. The position requires a strong understanding of cloud infrastructure and common security frameworks.
Must have:
- 5+ years AWS experience
- Cloud infrastructure knowledge
- IaC (CloudFormation, Terraform)
- CI/CD implementation
- DevOps best practices
- Scripting (Bash/PowerShell/Python)
- Linux/Windows administration
10 skills required
Job Details
AWS – Cloud DevOps Engineer - AU
Should have minimum 5 years experience AWS.
Job Description Summary
Implements organization's cloud strategy from a technical perspective, including design, planning,
integration, maintenance and support of cloud architecture.
Supports development and execution of cloud implementation strategy within organization's existing IT infrastructure.
May work with stakeholders across organization to evaluate cloud systems and identify appropriate solutions.
Responsible for adhering to company security policies and procedures and any other relevant policies and standards as directed.
Key Responsibilities
Other Incidental tasks related to the job, as necessary.
• Create well-designed, documented, and tested software features that meet customer requirements.
• Identify and address product bugs, deficiencies, and performance bottlenecks.
• Working with customers engineering teams on a wide variety of projects
• Writing infrastructure as code (CloudFormation, Terraform)
• Implement automation/DevOps best practices for CI/CD, IaC, Containerization, etc
• Linux/Windows administration, automated deployments, scripting (Bash/PowerShell/Python)
• Collaborate with fellow Rackers and customer key stakeholders to deliver projects, such as implementing Cloud-based technical architectures, executing migrations, and optimizing applications
that enable business objectives.
• Serve as a technical advisor and perform troubleshooting to resolve technical challenges for
customers.
Knowledge
Extensive knowledge of cloud services, methodologies, best practices, and tools
• Solid understanding of Cloud infrastructure
• Knowledge about common security frameworks and standards (NIST, HIPAA, PCI, etc)
Skills
Generic DevOps Skill Baseline Coding
• Scripting/ Programing language/ Configuration Management/ Container (1 or more at 100 level)
• Continuous Integration / Continuous Deployment
• VCS (Git Based VSC)
• family with commit, branch, merge, review process
• understand pre/post hook
• design/implement branching strategy (e.g., git flow, GitHub flow)
• design/implement group development collaboration process (access control, code
review/approval, integration with other CI tools)
• Artifact Repository
• familiar with one of the popular antifactory management tools
• CI/CD tools
• implement CI services (VCS, antifactory repo, build, release)
• Design/implement CI/CD pipeline
• Operating System familiar with Linux or Windows OS
• Cloud Skill Baseline
• Automation
• IaC
• use cloud IaC language to implement cloud resources or operation process
• use orchestration tools to organize IaC code and inject configurations
• CI/CD
• Implement CI services (VSC, Artifacts repo, build service pipeline service)
• implement CI/CD pipeline to build/deploy infrastructure or application
• design/implement best practice CI/CD
• Landing Zone (Multi Account Framework)
• Identity Access Management (IAM)
• Security
• Networking
• Compute (VM, Container platform, Function)
• Virtual Machine workload
• Implement serverless solution for operational purpose
• Data storage, Database
• configuration management
• Secret Management
• Monitoring and Logging
• Message Queues
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