3 months ago
Ramat Gan, IsraelSenior
Responsibilities
- Own backend services from architecture and design through production, monitoring, and continuous improvement.
- Drive performance, scalability, and reliability using data and metrics.
- Build infrastructure and data pipelines supporting machine-learning, analytics, and real-time use cases.
- Partner with Product, Data Science, and Analytics to turn complex data into product features.
- Improve engineering quality through code reviews, design discussions, and technical mentorship.
Requirements
- 5+ years of backend engineering experience in high-scale systems.
- 2+ years working on Node.js backend systems with TypeScript or JavaScript.
- Excellent proficiency with AWS or GCP and infrastructure-as-code using Terraform.
- Familiarity with iOS or Android development using one or more of Kotlin, Swift, Objective-C, or Java.
- Strong fundamentals in system design, data structures, APIs, testing, and observability.
- Hands-on experience with data-intensive systems and complex data pipelines.
- BSc in Computer Science or equivalent practical experience.
- Apache Spark data engineering experience is a plus.
- Experience using AI tools and integrating generative AI into workflows is a plus.
Benefits
- Competitive salary and excellent benefits
- Global remote workforce
Tech Stack
Categories
BackendData Engineering
About Placer.ai
Placer.ai builds a SaaS location analytics platform that turns aggregated, privacy-safe mobile location and geospatial data into foot-traffic and trade-area insights for retailers, commercial real estate, and public-sector teams. Customers use its web-based tools and APIs to analyze sites, markets, and consumer behavior and inform investments, marketing, and operations. Founded in 2018 and headquartered in Santa Cruz, California, the company is privately held and serves thousands of organizations, including Fortune 500 brands and local governments.