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As a Senior Software Engineer, Cloud Platform at Chef Robotics, you'll be responsible for designing, implementing, and maintaining the cloud infrastructure and deployment systems that power our robotics platform. You'll focus on provisioning robots for seamless deployment, enabling remote software updates to enhance performance and reliability, and developing cloud infrastructure that supports real-time robotics operations. This role requires expertise in cloud platforms, containerization, and infrastructure automation to ensure scalable and reliable deployment of our robotics systems across customer environments.
Job Responsibility:
Design and implement cloud infrastructure to support robotics platform deployment and operations
Provision robots for seamless deployment across diverse customer environments
Enable remote software updates to enhance performance and reliability of deployed systems
Implement containerization (Docker) and orchestration (Kubernetes) for scalable deployments
Manage cloud infrastructure across AWS, GCP, or Azure platforms
Improve the performance and reliability of cloud services supporting the Chef system
Implement fault-tolerant design patterns to ensure reliability in production environments
Establish performance benchmarks and optimize systems to meet latency requirements for robotics operations
Implement comprehensive logging, monitoring, and alerting for cloud infrastructure
Create diagnostic tools and dashboards for operational visibility
Implement CI/CD practices and infrastructure-as-code principles
Develop automated deployment pipelines for robotics software and services
Create and maintain deployment scripts and configuration management systems
Establish version control and rollback mechanisms for system updates
Develop tools for consistent environment provisioning and management
Maintain secure and efficient data pipelines between on-device and cloud services
Implement systems to support real-time communication between robotics systems and cloud infrastructure
Design cloud architecture that supports telemetry data collection and processing
Ensure secure authentication and authorization mechanisms across cloud services
Requirements:
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
5+ years of professional experience in cloud infrastructure and DevOps roles
Expert knowledge of cloud infrastructure and deployment (AWS, GCP, or Azure)
Strong proficiency with containerization (Docker) and orchestration (Kubernetes) technologies
Extensive experience with CI/CD practices and infrastructure-as-code principles
Experience with system monitoring, logging, and performance optimization
Understanding of secure data pipeline design and implementation
Understanding of infrastructure requirements for robotics or automation systems
Experience with real-time or near-real-time systems and cloud architecture
Background in developing reliable systems with high availability requirements
Knowledge of deployment automation and configuration management
Familiarity with system performance optimization including latency and scalability
Strong problem-solving skills with a systematic approach to infrastructure challenges
Excellence in technical communication and documentation
Proactive mindset in identifying potential issues and implementing solutions
Comfort with working in a fast-paced startup environment
Passion for robotics and automation technology
Collaborative approach to cross-functional engineering teams
Nice to have:
Experience with robotics hardware deployment and management
Knowledge of ROS (Robot Operating System) or similar frameworks
Experience with time-series databases for telemetry data
Familiarity with message queue systems for distributed systems
Background in manufacturing, food production, or industrial automation
Experience with WebSockets for real-time communication
Knowledge of Redis for caching and distributed system patterns
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