Staff Full-Stack Engineer
Hybrid
Full Time
#Engineering
#Computer Vision
#Software
#React
#Java
#AWS
#GCP
#Azure
#Docker
#Kubernetes
#Flink
#Hadoop
#Spark
What you will be working on
- Primary owner of Safari AI infrastructure including key frontend and backend services
- Make critical design decisions on main website application services
- Practice engineering best practices for system design, coding, documentation and communication
- Work closely with engineering team members and operation team to identify new priorities and communicate it well
- Contribute to engineering development process improvements
- Set technical direction for both backend and frontend stacks
Requirement for the Role
- 8 years software individual contributor experiences
- proficiency in React and Java
- proficiency in at least one of the following public cloud: AWS/GCP/Azure
- proven record of building a complex service from scratch to production
- experiences in delivering incremental features and maintaining reliabilities of a production service
- familiar with container technology including docker and kubernetes
- familiar with one or more big data frameworks such as Flink, Hadoop, Beam, Spark, etc.
- experiences in startups
Nice-to-Haves
- 3 years management experiences
- proven experiences of building a team and mentoring skills
- experiences in machine learning
- PhD training in computer science or similar areas
- experiences in compliance, such as SOC2
What we provide
- Opportunity to shape an early-stage, mission-driven startup and revolutionize how Enterprises use Computer Vision
- Professional growth at a fast-growing, venture-funded start up with a proven founder and leadership team
- Competitive salary and meaningful equity for early team members
- Unlimited vacation days
- Generous health benefits (Health, Vision, Dental)
- 401k for US team members
- Brand new, top of the line hardware and whatever else you need to help you win
We are not considering any agent/agency.
Why bet on Computer Vision and Safari AI?
1. Huge industry hiding in plain sight: leveraging already-installed cameras to automate and real-time action on operational data
2. Large chasm between customer knowledge and market availability, i.e. customers don't know what is available in the market...yet.
3. No clear industry leader in computer vision; everyone is small and unbranded (i.e. no Amazon or Google in the room to compete with)
4. Very modular, allowing Safari AI and its customers to invent whole new use cases on a regular basis
5. Safari AI has developed the tech and data pipelines over three years and invested several million dollars and is now ready to scale
6. Safari AI is already the market leader in enterprise applications CV by working with industry leaders with billions in revenue
