ABOUT PLACER.AI: 

Placer.ai is a fast-growing big data startup led by seasoned executives and repeat entrepreneurs who are building the world's first "Google Analytics for the physical world." Placer.ai’s platform provides instant visibility into any property in the U.S., presenting accurate details about visitation patterns and demographic breakdowns of visitors. Placer.ai’s customers can see where visitors have been before, where they go afterwards, where they typically go for sports, entertainment, groceries, etc., and what their interests are. Placer.ai's A.I.-based SaaS platform replaces archaic solutions such as manual surveys, installed cameras and other people-counting systems, creating a blue ocean market of more than $100B. 

Placer.ai has grown 3x year-over-year for the past 3 years, counting more than 4000 paying customers across a range of industries, including 2 of the world’s top-10 retailers, 2 of the top-10 CPG firms worldwide, a world’s top hospitality firm, 2 of the world’s top-10 commercial real estate (CRE) firms and 2 of the world’s top multinational asset managers and hedge funds. Placer.ai has just raised $100M for Unicorn ($1B+) valuation in Series C funding.

SUMMARY:
We are looking for a Backend Engineer who is a people's person with the willingness to help us conquer the world. Our group works in  microservices architecture with Python, NoSQL, and SQL databases in the cloud.  As a Backend Engineer at Placer.ai you will own, develop, and rollout services at our POI engine, you will tackle large-scale and load challenges, using the best suitable tools and technology. 

RESPONSIBILITIES:

• Design and develop scalable backend systems to support POI data processing and storage, ensuring high availability and reliability.
• Manage and optimize cloud-based infrastructure for handling large data volumes and high traffic, implementing infrastructure as code (IaC) practices.
• Develop and maintain efficient data pipelines for the ingestion, processing, and storage of POI data, ensuring data integrity and accuracy.
• Implement and maintain CI/CD pipelines to automate testing, deployment, and monitoring, ensuring smooth and rapid release cycles.
• Enhance system performance and security, monitoring for bottlenecks and vulnerabilities, and ensuring compliance with data protection regulations.
• Collaborate with cross-functional teams including product managers, data scientists, and frontend developers to deliver integrated solutions and participate in code reviews and technical discussions.

REQUIREMENTS:

• BSc degree in Computer Science or equivalent
• 3+ years of experience as a backend engineer
• Proficiency in programming languages such as Python, Java, or Go
• Experience with cloud platforms (AWS, Azure, or GCP)
• Hands-on experience with infrastructure as code (IaC) tools like Terraform or AWS CloudFormation
• Experience with database systems (SQL and NoSQL) and data pipeline development
• Experience Implementing and maintaining CI/CD pipelines in Jenkins, Argo or similar
• Proficiency with Docker and Kubernetes (K8s)
• Strong coding skills and a “get-things-done” approach

ADVANTAGES:

• Experience with Kafka, Celery, RabbitMQ, Postgresql and MongoDB
• Experience with Django or FastAPI
• Knowledge of security best practices and data protection regulations
• Developing complex large scale data pipelines

WHY JOIN PLACER.AI?

• Join a rocketship! We are pioneers of a new market that we are creating
• Take a central and critical role at Placer.ai
• Work with, and learn from, top-notch talent
• Competitive salary
• Excellent benefits

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER 

• Placer.ai in a nutshell
• Placer.ai's recent $100M round C funding (unicorn valuation!)
• Placer.ai's data
• Placer.ai in the news
• COVID-19 Economic Recovery Dashboard

Placer.ai is an equal opportunity employer. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.

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