Senior Backend Engineer – Platform

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🕒 December 16, 2025

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Qloo

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 $15M Series B on 2022-08

Artificial Intelligence • B2B • SaaS

Qloo is a company that specializes in consumer intelligence using artificial intelligence and advanced analytics. With a comprehensive database of consumer preferences and lifestyle entities, Qloo offers insights and personalized recommendations that respect user privacy. Their technology is used for personalized marketing, audience analysis, and enhancing AI models to ensure outputs are relevant and tailored to consumer tastes. This data-driven approach empowers organizations to better understand their audiences and develop targeted marketing strategies and personalized experiences.

📋 Description

• Building, optimizing, and maintaining backend services and APIs with a focus on performance and reliability. • Developing and maintaining internal tools, observability systems (logging, telemetry, metrics), and data pipelines. • Taking on varied technical challenges as priorities shift—whether that's improving CI/CD workflows, enhancing security posture, or architecting new systems. • Collaborate closely with a cross-functional engineering team of 6–7 engineers on delivering microservices and backend infrastructure improvements. • Contributing to infrastructure and deployment strategies using AWS and Terraform. • Championing best practices in testing, documentation, and automation. • Mentoring teammates and providing technical leadership for complex backend systems.

🎯 Requirements

• Strong experience with TypeScript, Node.js, and Express. • Solid AWS infrastructure expertise (ECS, VPC networking, IAM, etc.). • Experience with Terraform (or other infrastructure-as-code tools). • SQL expertise, with Postgres preferred. • Experience with Python for scripting or data workflows. • A proven ability to design and deliver backend systems at scale.

🏖️ Benefits

• Competitive salary and benefits package, including health insurance, retirement plan, and paid time off. • The opportunity to shape a modern cloud-based data platform that powers real products and ML experiences. • A collaborative, low-ego work environment where your ideas are valued and your contributions are visible. • Flexible work arrangements (remote and hybrid options) and a healthy respect for work-life balance.