SynthBee

SynthBee was founded to build safe, scalable, and reliable computing intelligence to amplify human innovation.

We focus on applying our novel and proprietary SynthBee computing intelligence platform to complex, mission critical systems across a range of sectors including healthcare, defense, aerospace, automotive, robotics, engineering/manufacturing systems, security, climate, and media.

Our customers prioritize reliability, accuracy, transparency, human control, visibility, traceability, intellectual property, data integrity, data protection, resilience, safety, and ethics.

We are creating a safe and useful alternative to AGI (Artificial General Intelligence). The SynthBee platform is being built to work with people and teams across the world to help solve the most important scientific, engineering, design, and creative challenges and endeavors.

About the role

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.

This role has the following responsibilities

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

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

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

Production-Ready ML Systems
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

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

Documentation and Knowledge Sharing
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.

Continuous Learning and Innovation
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.

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

You might be a good fit if you have the following KSAs

Knowledge

• 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. 

Skills

• Hands-on experience with cloud-based machine learning services (AWS SageMaker, 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).

Abilities

• 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.

jobs@synthbee.com

SynthBee is headquartered in sunny South Florida :) We offer competitive compensation and benefits, generous paid time off, and an innovative and vibrant office space built to accelerate human innovation

Equal Opportunity Employer

SynthBee provides equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, ancestry, national origin, citizenship, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, religion, age, disability, genetic information, service in the military, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Equal employment opportunity applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training.

SynthBee expressly prohibits any form of unlawful employee harassment or discrimination based on any of the characteristics mentioned above. Improper interference with the ability of other employees to perform their expected job duties is absolutely not tolerated.

Please note: certain roles may require the candidate to meet the requirements for United States Government contract work, or subcontract work, including active US security clearance or eligibility and willingness to obtain a US security clearance.