Senior Cloud Systems Architect

1 week ago

Pagadian, Zamboanga Peninsula, Philippines beBeeCloud Full time $120,000 - $180,000
Cloud Infrastructure Developer

This role involves the design, implementation and optimization of cloud infrastructure solutions using AWS. The ideal candidate will have a strong programming background and experience with cloud automation, engineering and architectural design.

  • Key Responsibilities:

  • Design, implement and optimize AWS-based infrastructure solutions that align with business requirements and industry best practices.

  • Develop and maintain infrastructure automation using AWS Cloud Development Kit (CDK) and Terraform.

  • Build robust, scalable applications and tools using preferred programming languages such as Python, React.js and JavaScript.

  • Collaborate with cross-functional teams to integrate generative AI solutions into existing systems.

  • Research and stay up-to-date on the latest advancements in cloud distributed systems and generative AI technologies and methodologies.

  • Take ownership of cloud and platform engineering projects, ensuring they are delivered efficiently, securely and in accordance with organizational standards.

  • Understand corporate toolsets, provide recommendations for architectural designs and ensure compliance with internal governance frameworks.

  • Serve as an escalation point for complex technical issues, providing guidance and support to other team members.

  • Work closely with cross-functional teams, sharing knowledge and best practices to foster continuous improvement.

Required Skills and Qualifications

  • Extensive AWS expertise, including experience with cloud automation, security best practices and architectural design.

  • Proficiency in programming, with a demonstrated history of developing and maintaining custom solutions.

  • Strong experience with Python, React.js and JavaScript.

  • Hands-on experience with CDK and Terraform for infrastructure automation.

  • Proficiency in Amazon Bedrock, TensorFlow and PyTorch for developing AI solutions.

  • Experience with DevOps methodologies, CI/CD pipelines and containerization technologies (e.g. Docker, Kubernetes).

  • Familiarity with monitoring and logging solutions such as CloudWatch, Prometheus or ELK Stack.

  • Familiarity in security and compliance within cloud environments.

  • Excellent problem-solving skills and the ability to troubleshoot complex cloud-based environments.

  • Strong leadership capabilities, with experience leading technical projects and mentoring team members.

  • Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.

Benefits

The ideal candidate will have opportunities for career growth and professional development in a fast-paced and innovative environment.

Others

Preferred qualifications include AWS certifications such as AWS Certified Solutions Architect – Professional, AWS Certified DevOps Engineer – Professional, AWS Certified AI Practitioner or AWS Certified Developer – Associate.

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