Cloud Platform Engineering Lead

1 day ago

Ayala Alabang, National Capital Region, Philippines beBeeCloudEngineer Full time $80,000 - $150,000

About the Job

We are seeking an experienced and skilled Cloud Engineer to join our team. This is a fantastic opportunity to make a significant impact within a forward-thinking organisation, contributing to the evolution of cloud and platform engineering capabilities.

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 organisational 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.

Experience / Competences

Essential

  • 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.

Desired

  • 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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