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Brain Corp

Your robotics automation partner powering the most intelligent tools to create more productive workforces.

Software Engineer II, AI Apps, Cloud Infrastructure

Infrastructure EngineerInfrastructure EngineerFull TimeRemoteMid LevelTeam 201-500Since 2009H1B No SponsorCompany SiteLinkedIn

Location

California

Posted

2 days ago

Salary

$130K / year

Seniority

Mid Level

Job Description

Software Engineer II, AI Apps, Cloud Infrastructure

Brain Corp

• 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.

Job Requirements

  • 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).
  • 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.

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