Help us maintain the quality of our job listings. If you find any issues with this job post, please let us know.
Select the reason you're reporting this job:
Focal Systems’ platform helps retailers cut shelf scanning cost in half by switching from manual to automated shelf scans.
The solution is based on low cost, discrete shelf cameras, a sophisticated computer vision model and a cloud-based machine learning platform that is tuned for complex retail environments.
By providing automated, real-time insight into on-shelf product availability, retailers can repurpose store personnel to focus on customer experience and other higher value tasks.
In addition, the real time data captured by the shelf cameras feeds into Focal Systems’ AI engine which can help automate and optimize product availability and merchandising decisions.
These optimizations have proven to save up to 50% on manual shelf scanning cost and significantly improve in-store customer experience via higher product availability which generates a 3-5% increase in sales compared to baseline stores.
Focal Systems’ platform is deployable at scale and will provide impactful results from day one. It also integrates with existing retail systems and applications to enable additional cost savings and insights from its real-time product availability and analysis.
Focal Systems’ shelf cams are deployed at scale with proven results at several major global retailers and every day process more than 10M shelf scan images.
Focal Systems is the industry leader in retail AI solutions. We are a Silicon Valley based startup that has more than doubled in size every year since inception. We are a Deep Learning first company. Our mission is to automate and optimize brick and mortar retail using deep learning computer vision. Focal Systems has been deployed at scale with the top retailers in the world. We are looking for smart, creative and passionate people who want to help build a great and enduring company and deploy Deep Learning to the world!
Mission of the role:
To enable us to scale from 200k to 1 million cameras
Job Summary
As a Sr. DevOps/Site Reliability Engineer (SRE) at our company, you will play a pivotal role in ensuring the smooth operation and continuous improvement of our infrastructure, deployment processes, and overall system reliability.
Responsibilities
Set up and manage blue/green and canary deployments to ensure smooth launches without downtime.
Operate multiple large GCP Kubernetes clusters and fine tune for reliability vs cost
Manage the various distributed services of the company, ensuring to always provide graceful updates, comprehensive test coverage, tracking of logs, and 99.9% uptime
Work with Backend, Frontend and Deep Learning teams and write infrastructure automation code for their needs
Identify scalability bottlenecks through load testing and plan infrastructure architecture
Create tools to provide transparency/ease of access into the company's rich datasets stored across varying geographic locations and data formats
Design, build, and manage a robust Continuous Integration and Continuous Deployment (CI/CD) pipeline.
Lead uptime improvement processes including: postmortem review, on-call setup.
Requirements
Solid experience in an infrastructure or Site Reliability Engineer (SRE) role
Hands-on experience with containerization (Docker) and orchestration platforms (Kubernetes) required
Experience in cloud cost management
Great understanding of SQL, networking, distributed systems, operating systems (debian) and software engineering practices
Experience with messaging systems
Terraform or other Infrastructure as Code automation solution
Operating Relational SQL databases and Redis at terabyte scale.
Proven experience with setting up monitoring/alerting and reliability engineering
Scriptings skills in Python
Must be comfortable with 12-hour on call rotations
Must have experience working at a SaaS company
Nice to have experience:
GitOps
Setting up automation for complex load testing scenarios
Tuning Deep Learning pipelines with Python, Pytorch and Multiprocessing
Backend programming with Python
Why Focal Systems
Strong Values and Mission - We are a tightly-knit team with an ambitious mission and a strong set of core values, which define our approach to business and have successfully guided us since inception.
Exceptional Team - We are a team of hard-working, fun-loving professionals from some of the most eminent universities, research labs, and tech companies of our time. We pride ourselves on recruiting exceptional individuals to help us redefine the state-of-the-art.
Outstanding Partners - We work with 10+ of the largest retailers in the world and have a world-class roster of investors, advisors and partners to support & advise us in our endeavors.
Benefits
We care deeply about the health, happiness, and wellbeing of all of our employees. We offer:
Competitive Salary & Attractive Stock
Paid Time Off
Quarterly Team Retreats
Education grants
Required profile
Experience
Level of experience:Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.