Cloud Infrastructure Engineering Intern

Job Description

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Job Title: Cloud Infrastructure Engineering Intern

Job Summary:

Embark on an exciting journey as a Cloud Infrastructure Engineering Intern at Bear Robotics, where you’ll play a pivotal role in shaping the future of autonomous service robotics. This is more than just an internship; it’s an opportunity to contribute directly to the design, deployment, and optimization of the sophisticated cloud systems that empower our growing fleet of service robots. You will be at the forefront of connecting innovative robotics with robust cloud solutions, ensuring seamless operations in real-world environments like restaurants and hospitality venues.

Working closely within a dynamic ecosystem of software, DevOps, and robotics teams, you will help build and maintain reliable, scalable, and secure cloud services. Your contributions will be critical in enabling our robots to communicate, learn, and perform their tasks flawlessly. This internship is perfectly suited for ambitious students with a strong interest in large-scale distributed systems, modern cloud architecture, and cutting-edge IoT applications within robotics. Prepare to solve complex challenges and see your work deployed to production, making a tangible impact on an evolving industry.

Key Duties/Responsibilities:

• Assist in Building and Maintaining Cloud Infrastructure: Actively contribute to the development and upkeep of our core cloud infrastructure, ensuring it robustly supports real-time robot operations, critical data processing, and continuous telemetry streams. Your work will directly impact robot uptime and performance.
• Work with Leading Cloud Tools: Gain hands-on experience utilizing industry-standard technologies such as GCP (Google Cloud Platform), Kubernetes for orchestration, Docker for containerization, and Terraform for infrastructure as code, to deploy and monitor our crucial microservices.
• Help Monitor and Optimize System Performance: Collaborate with the team to analyze system metrics, identify bottlenecks, and implement solutions to enhance performance, improve reliability, and optimize cost efficiency across our cloud environments.
• Collaborate on Cloud API Integration: Work alongside software and robotics engineers to seamlessly integrate cloud APIs with our robot’s onboard software systems, facilitating robust communication and data exchange.
• Support Data Security and Compliance Efforts: Contribute to initiatives focused on ensuring the highest standards of data security, compliance with relevant regulations, and building resilience across our multi-faceted cloud environments.
• Participate in Collaborative Development: Actively engage in vital aspects of the software development lifecycle, including participating in insightful code reviews, contributing to design discussions, and assisting in the creation of comprehensive system documentation.

Supervisory Responsibilities:

• None. This is an individual contributor role focused on learning and execution.

Required Skills/Abilities/Qualifications:

• Academic Pursuit: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a closely related technical field.
• Strong Programming Foundation: Demonstrated strong programming skills in at least one major language such as Python, Go, C++, or similar.
• Passion for Technology: Genuine enthusiasm and a strong interest in robotics, IoT systems, and cloud infrastructure.
• Problem-Solving Acumen: Excellent problem-solving skills, coupled with inherent curiosity and a proactive eagerness to learn and adapt in a fast-paced startup environment.
• Cloud and Networking Fundamentals: Familiarity with major cloud platforms (AWS, GCP, or Azure) or containerization technologies (Docker), alongside a basic understanding of fundamental networking concepts.
• Effective Communication: Strong communication skills, both written and verbal, and the ability to collaborate effectively within an agile team environment.

Preferred Skills/Abilities (Big Plus):

• Orchestration and Monitoring Experience: Prior experience or coursework with Kubernetes, Terraform, or monitoring tools like Prometheus/Grafana.
• Distributed Systems Knowledge: Experience or coursework related to microservices architectures, cloud security, or distributed systems.

Education/Experience:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Recent graduates with relevant academic backgrounds will also be considered.

What You’ll Gain:

• Hands-on Production Experience: Acquire invaluable hands-on experience building critical infrastructure for real-world robots deployed and operating in dynamic environments like restaurants.
• Expert Mentorship: Benefit from direct mentorship and guidance from experienced senior software engineers who are leaders in their field.
• Exposure to Advanced Systems: Gain significant exposure to production-grade CI/CD pipelines, advanced container orchestration with Kubernetes, and robust system monitoring strategies.
• Meaningful Impact: Seize a unique chance to make a tangible impact and contribute to the rapidly growing and exciting field of autonomous service robotics.
• See Your Work Live: Experience the satisfaction of seeing your contributions deployed directly to production, affecting real-world operations.

Physical Requirements:

• Prolonged periods of sitting/standing at a desk and working on a computer.
• The employee routinely is required to sit; stand, walk; talk and hear; use hands to keyboard.
• Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
• Ability to lift 20 lbs.

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