Cloud Engineer

Synth Bee Inc. Cloud Engineer

Pembroke Pines, FL

Full time

At Synth Bee we’re building Collaborative Intelligence™ maximising the potential of people and computers working together. CI™ will help humans solve the most important scientific, engineering, design, and creative challenges of our time. And create joy in the process.

As a Cloud Engineer, you will play a pivotal role in supporting tech leadership by participating in the optimization, deployment and performance of cloud-based solutions. You will assist in the integration of machine learning models into cloud environments, ensuring performance optimization and scalability, and aligning systems with business goals. You’ll collaborate with cross-functional teams to drive innovation and support the seamless operation of data intensive applications in a cloud platform.

• Assist in cloud system upgrades, security patches, and infrastructure management tasks under the guidance of senior engineers

• Participate in cloud platform and machine learning model performance monitoring to proactively identify and resolve potential issues.

• Identify and resolve technical issues related to machine learning workflows, cloud infrastructure and system integrations.

• Support the deployment of robust ML models in production, ensuring high availability and scalability on cloud platforms like AWS, GCP, or Azure; build and refine ML pipelines that handle complex data workflows and large-scale datasets; ensuring smooth integration into existing systems. Partner on the end-to-end design of ML solutions, from data ingestion to deployment

• Partner with engineering teams to deploy, scale, and monitor ML Operations and cloud based solutions.

• Develop and maintain detailed documentation for testing procedures and workflows, contributing to the team’s technical growth by sharing insights, providing mentorship to other team members, and fostering a collaborative environment.

• Stay up to date with the latest cloud technologies, machine learning operations trends and best practices to continuously improve support offerings, prototype and evaluate emerging technologies to maintain a competitive edge.

• Ensure cloud systems comply with security and regulatory standards, particularly in handling sensitive data and critical applications.

• Experience with AWS and other cloud platforms (Microsoft Azure, Google Cloud) in a professional setting.
• Familiarity with designing data intensive cloud architectures
• Hands on experience with cloud infrastructure management, containerization (Docker, Kubernetes), and automated deployment workflows.
• Solid foundation of cloud-based networking, storage solutions, and security protocols.

• Hands-on experience with cloud-based machine learning services (AWS Sage Maker, Azure ML, Google AI Platform).
• Skilled with utilizing CI/CD pipelines for machine learning deployment.
• Proficient in developing scalable software solutions and seamlessly integrating ML models into production
• Familiarity with common programming languages (Python, Java or JavaScript).

• Ability to work within a large-scale, cross-functional project team independently with minimal supervision.
• Excellent communication skills to convey complex technical concepts to both technical and non-technical stakeholders.
• Ability to develop new features and infrastructure in support of rapidly emerging business and project requirements.
• Ensure application performance, uptime, and scale, and maintain high standards for code quality and application design.
• Strong analytical, problem solving and communication skills.