"Remote Cloud Engineer"

We are excited to announce a remote job opportunity as a Cloud Engineer at Paymentology! As a Cloud Infrastructure Engineer, you will play a crucial role in building enterprise-level financial processing systems that handle millions of transactions worldwide. You will work closely with our technical team to develop highly scalable and secure systems that connect prepaid cards to web, mobile, and API interfaces.

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Your typical day-to-day tasks will include:

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• Positioning, architecting, and supporting the implementation of cloud-based solutions using AWS, Azure, and OCI services.
• Designing, building, and migrating applications, software, and services on the cloud platforms.
• Providing technical presentations to explain our products and services to clients.
• Ensuring that our infrastructure is automated, secure, and user-friendly for our developers.
• Identifying and evaluating new technologies and contributing to the development of new services.
• Supporting our existing test and production environments and resolving any issues that arise.
• Collecting metrics to measure the improvement and effectiveness of our products.
• Collaborating with product owners, application engineers, and security teams to improve the stability and security of our infrastructure.

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To succeed in this role, you should have at least 6 years of experience as a cloud engineer. You should be familiar with public cloud services like Azure, AWS, and GCP, as well as configuration management tools like Ansible, Puppet, and Chef. Experience with infrastructure deployment using tools like Terraform, CloudFormation, and ARM templates is also necessary.

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We value individuals who are passionate about identifying bottlenecks in engineering lifecycles and automating them. You should have a strong understanding of cloud services and best practices, particularly with AWS and Azure SDKs. Excellent communication skills and the ability to work in a fast-paced environment are also important.

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If you have an eye for security and experience with Kubernetes or other workload managers, that would be a bonus!

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Join us at Paymentology and be part of a team that is revolutionizing the financial processing industry. Apply now and take the next step in your cloud engineering career!

Soft skills: 

• Communication skills 
• Problem-solving skills 
• Organizational skills 
• Self-motivation 
• Adaptability 
• Collaboration skills 

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State-of-mind: 

• Passion for learning 
• Strong work ethic 
• Positive attitude 
• Confidence 

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When submitting an application, highlight the following: 

• Describe previous experience and accomplishments in cloud engineering 
• Emphasize expertise with AWS, Azure, and OCI services 
• Highlight experience in automating infrastructure deployment 
• Demonstrate strong communication skills 
• Mention experience with Agile methodologies and ability to work in a fast-paced environment 
• Express passion for learning and problem-solving 
• Highlight organizational skills and ability to independently execute tasks 

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Note: This response is encouraging for professionals with any level of self-confidence.

Skills and qualifications required for this mission:

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1. In-depth knowledge of AWS, Azure, and OCI services and cloud computing
2. Ability to communicate architectural trade-offs & design options
3. Experience as a cloud engineer (6+ years)
4. Experience with public cloud services (Azure/AWS/GCP) and infrastructure
5. Experience with configuration management tools (Ansible, Puppet, Chef)
6. Experience in Automating Infrastructure deployment using IaaC tools (Terraform, Cloud formation, ARM templates)
7. Hands-on experience with DevOps Tools (GitLab, GitHub, Jenkins)
8. Container image management experience using Docker
9. Experience in source control management with Git
10. Scripting experience (bash, shell, PowerShell, python)
11. Passionate about identifying constraints or bottlenecks in engineering lifecycles and automating them
12. Strong understanding of AWS and Azure Software Development Kit (SDK) and cloud services best practices
13. Ability to manage and maintain system performance, scalability, manageability, and security requirements
14. Research, analyze, design, propose, and support the delivery of solutions
15. Partner with development and operations teams to develop practical automation solutions
16. Excellent written and oral communication skills
17. Experience with Agile methodologies
18. Passionate about learning new things and solving problems
19. Strong organizational skills and ability to work in a fast-paced environment

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Bonus qualifications:

1. Understanding of operating pipelines at scale while maintaining security and integrity of sensitive data
2. Experience deploying computational workloads on Kubernetes or other workload managers