5Bluesoftware
Israel
Full-Stack Developer (Django/Vue.js) – AI Video Analysis (Part-Time, Remote)
- AI
- Computer Vision
- Django
- VUE
AI Summary
Placer.ai is seeking a Senior Backend Engineer to build and maintain backend services for one of the world's largest location-analytics platforms. The role involves designing, implementing, and optimizing high-scale systems that process millions of clients, power ML-driven insights, and ensure reliability. Candidates must have 5+ years of backend engineering experience, 2+ years with NodeJS/TypeScript, and strong cloud infrastructure skills.
Key Highlights
Build backend services for a $100B+ location analytics platform
5+ years high-scale backend engineering experience required
2+ years NodeJS/TypeScript with AWS/GCP and Terraform
Collaborate with Product, Data Science, and Analytics teams
Key Responsibilities
Own services end-to-end from architecture and design to production, monitoring, and continuous improvement
Drive performance, scalability, and reliability using data and metrics to guide decisions
Build infrastructure and data pipelines that support machine-learning, analytics, and real-time use cases
Partner closely with Product, Data Science, and Analytics to turn complex data into impactful product features
Raise the engineering bar through code reviews, design discussions, and technical mentorship
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Technical Skills Required
Benefits & Perks
Competitive salary
Excellent benefits
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Nice to Have
Demonstrated use of AI tools to work more efficiently
Comfort integrating generative AI into day-to-day workflows
Job Description
Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions.What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist.
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