Design and transform code bases into scalable cloud infrastructure. Collaborate with teams to enhance efficiency while managing GCP use and guiding engineers on best practices.
About the job
As a Cloud Infrastructure Engineer, you will design and transform existing code bases into high-quality, well-tested, and scalable cloud infrastructure, consisting of data logging, data pipeline, identity and access management, network architecture, monitoring, and more. You will consult with various teams, including machine learning engineers, data scientists, data engineers, clinicians, and our external customers. Additionally, you'll also guide software engineers within the company on their Google Cloud Platform (GCP) use, while ensuring they have the best experience in migrating, building, modernizing, and maintaining applications.
You will
- Apply your knowledge of Cloud Infrastructure to work in a small team whose work impacts various groups of patients(users)
- Analyze and improve efficiency, scalability, and stability of various system resources
- Set direction and goals for the team, regarding project impact, product quality, and engineering efficiency
- Lead major initiatives, projects, teams, roll-outs, and phased-releases
- Be familiar with standard software engineering methodology (e.g. unit testing, code reviews, design documentation)
- Thrive in a highly collaborative and cross-functional environment, interacting and communicating effectively with team members
- Have a strong sense of ownership and curiosity to explore other aspects that may go beyond your area of expertise
Minimum qualifications
- Bachelor's degree in CS or a related field
- 3+ years relevant experience building large-scale infrastructure applications or similar experience
- Experience with improving stability through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
- Experience in at least one general purpose programming language (e.g., Java, Python, Go, C/C++, JavaScript)
- Solid data structures, algorithms and software design
- Experience with cloud infrastructures on Google Cloud Platform or Amazon Web Services or Microsoft Azure
Preferred qualifications
- Master’s degree in CS or a related field
- 5+ years of relevant work experience in cloud computing
- Experience with hands-on technical leadership, leading project teams, and setting technical direction
- Experience with architecting cloud infrastructures on Google Cloud Platform
- Experience with managing and completing internal or client-facing projects
- Experience with architecting and developing solutions to ambiguous problems with significant impact
- Experience with shipping products in a dynamic and agile early stage startup environment
About us
- ViFiVE (www.vifive.co) was founded in 2020. We develop AI technology to help 127M patients with musculoskeletal (MSK) disorders in the U.S. by creating accessible, affordable, and patient-centered Digital Health solutions.
- A start-up gives you a chance for professional career growth and expertise expansion in your field, while providing opportunities for cross-functional work. We’re NOT a big tech company already saturated with experienced software engineers for incremental work.
- We are a VC-backed early-stage startup with extremely high potential for growth.
If you are interested in digital health technology, AI/ML, and “next big things”, you should talk to us. Please send us your resume with a short overview of yourself, salary expectations, and why this role is perfect for you.
Top Skills
Amazon Web Services
C/C++
Go
Google Cloud Platform
Java
JavaScript
Azure
Python
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