Key Skills

Job Description

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures. Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing impacts through innovation, helping workers globally unlock their abilities in orchestration with intelligent machines. This role is located in our Utrecht office. Position Summary: As a member of the Software Engineering team, the Software Engineer II, Cloud is responsible for building software systems that connect our robots, keep them running smoothly, and gather data from them to feed development, operations, and reporting. You will work with a growing team of talented engineers using modern tools and processes to rapidly deliver software to the cloud. Within the team, you will lead development efforts on features and functionality to enhance our capability to communicate with robots as well as enhance our fleet management capabilities. Essential Job Functions: Develop, and maintain scalable and reliable cloud infrastructure on the Google Cloud Platform (GCP). Collaborate with the data engineering team to design and implement efficient data pipelines, ensuring high data quality and integrity. Develop APIs and services to facilitate seamless integration between the cloud platform and various web and robotic applications. Work closely with the web and robotic application teams to understand their requirements and provide technical guidance and support. Participate in testing activities, including unit testing, integration testing, and system testing, to ensure the reliability, performance, and quality of the cloud platform. Monitor and optimize the performance and reliability of the cloud platform, identifying and resolving any issues or bottlenecks. Stay up-to-date with the latest advancements in cloud technologies, sharing knowledge and best practices with the team. Assist in other duties and responsibilities as assigned. Education and/or Work Experience Requirements: Bachelor’s degree in computer science, software engineering or a related field. 2+ years of Software Engineering experience. Experience in cloud engineering, with a focus on Google Cloud Platform (GCP). Required Knowledge, Skills, Abilities, and Other Characteristics: Familiar with programming languages such as Go, Python, and TypeScript, with a demonstrated ability to write clean, maintainable code and using version control systems like git. Familiarity of cloud infrastructure and related technologies (compute, storage, networking, etc.) on GCP. Experience with infrastructure-as-code tools like Pulumi or similar technologies. Familiar with designing and implementing scalable data engineering workflows and data pipelines. Familiar with containerization technologies such as Docker and orchestration frameworks like Kubernetes. Understanding of RESTful APIs and the ability to design and develop them. Strong problem-solving and debugging skills, with a proactive and results-oriented approach. Strong communication and collaboration skills, with the ability to work effectively in a team environment. A passion for robotics, automation and technology. Ability to multitask and flexibility to adjust to changing priorities. Things that make a difference: MS in computer science, software engineering or a related field. Experience with robotic software development or working with robotics-related technologies. Familiar with CI/CD pipelines and related tools (e.g., Jenkins, GitLab CI/CD). Knowledge of event-driven architectures and messaging systems (e.g., Pub/Sub, Kafka). Familiarity of Agile methodologies. Knowledge of all phases of the software development lifecycle. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; talk and hear at normal room levels; using hands to finger, grasp, and feel; repetitive motion; close visual acuity to prepare and analyze data and figures; transcribing; viewing a computer terminal; extensive reading; lift, push, carry, or pull up to 20 pounds. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employee is exposed to the typical office environment with computers, printers and telephones.

Core Responsibilities

Develop and maintain scalable, reliable cloud infrastructure and services on Google Cloud Platform, including APIs that connect robots with web and robotic applications. Collaborate with data, web, and robotics teams to build data pipelines, test and optimize the platform, and resolve performance or reliability issues.

Requirements

Requires a bachelor’s degree in computer science, software engineering, or a related field, plus at least two years of software engineering experience and cloud engineering experience focused on Google Cloud Platform. Candidates should be familiar with Go, Python, or TypeScript; cloud infrastructure, infrastructure-as-code, data pipelines, containers, Kubernetes, and RESTful APIs, and should have strong problem-solving and collaboration skills.