Software Engineer II, AI Apps and Cloud Infrastructure

Role Description

As a member of the Software Engineering team, the Software Engineer II, Apps and Cloud Infrastructure will play a crucial role on our AI team. As a key driver on the team, you will spearhead feature development aimed at massively scaling our AI infrastructure, fine-tuning cloud efficiency, and delivering services that power our next phase of growth.

• Develop, and maintain scalable and reliable cloud infrastructure on BrainOS Google Cloud Platform (GCP).
• Collaborate with the Applied ML team and R&D team to design and implement efficient cloud services, ensuring high data quality and integrity.
• Develop APIs and services to facilitate seamless integration between the sense cloud platform and various web and robotic applications.
• Work closely with the web and 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 cost, performance and reliability of the sense 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.

Qualifications

• Bachelor’s Degree in Computer Science, Software Engineering or a related field.
• 2-4 years of demonstrated experience in software development.
• Experience in cloud engineering, with a focus on Google Cloud Platform (GCP).

Requirements

• 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 with 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.
• Experience leveraging GenAI tools and coding assistants to accelerate development, enhance code quality, and automate routine engineering tasks.
• 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.

Benefits

• Master’s Degree in Computer Science, Software Engineering or a related field.
• Experience with implementing and managing ML inference services at scale.
• 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; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push 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. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary Range

The anticipated salary for candidates who will work in San Diego, California is $130,000. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.