Senior Software Engineer, Cloud Platform

Chef Robotics is accelerating the deployment of intelligent machines in the physical world, starting with food production—a sector facing the largest labor shortage in the U.S., with 1.14M unfilled jobs today and 3.1M projected by 2030. These roles cannot be offshored, making robotics essential to keeping production onshore and strengthening America’s manufacturing base. Backed by investors like Kleiner Perkins, Construct, Bloomberg Beta, and Promus Ventures, and supported by a world-class team from companies such as Cruise, Zoox, Google, Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year contracts and a mission to put an intelligent robot in every commercial kitchen. About the Role 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.

Cloud Infrastructure & Deployment

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

System Reliability & Performance

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

DevOps & Automation

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

Data Pipeline & Integration

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

Required Qualifications - Technical Expertise

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

Domain Knowledge

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

Personal Attributes

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

Desired Qualifications

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

Key Projects You'll Work On

Provisioning robots for seamless deployment across customer sites

Implementing remote software update systems for deployed robotics fleets

Improving the performance and reliability of cloud services supporting the Chef system

Building automated deployment pipelines for robotics software

Developing monitoring and diagnostic tools for distributed robotics operations