TL;DR

Senior Backend Engineer (Location Analytics, AI): Building and optimizing large-scale, distributed backend systems for a location-analytics platform with an accent on architecture, performance, scalability, and reliability. Focus on designing end-to-end services, driving data-driven decisions, and integrating with ML and analytics pipelines.

Location: Global Remote

Company

%hirify_global% is transforming how organizations understand the physical world with its location analytics platform, empowering thousands of customers to make data-driven decisions.

What you will do

Design, build, and evolve large-scale, distributed backend systems for data and AI products.
Own services end-to-end, from architecture and design to production and monitoring.
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 translate complex data into impactful features.
Raise engineering standards through code reviews, design discussions, and technical mentorship.

Requirements

8+ years of backend engineering experience, ideally in high-scale B2B SaaS or data-driven products.
Proven experience building production-grade distributed systems.
Strong proficiency in one or more of: Python, Java, Go, Node.js, .NET.
Excellent software engineering fundamentals including system design, data structures, APIs, testing, and observability.
Hands-on experience working with data-intensive systems.
BSc in Computer Science or equivalent practical experience.

Culture & Benefits

Join a pioneer in a new, rapidly growing market.
Take a central and critical role within the company.
Work with and learn from top-notch talent.
Competitive salary and excellent benefits.
Part of an equal opportunity employer with a global remote workforce.