About the role

Aplyr's Quick Take

This role is for a Senior Backend Engineer focused on enhancing and scaling Qloo's backend platform and APIs. You'll work with a small team to tackle technical challenges, improve system performance, and implement new features, with a collaborative culture emphasizing mentorship and best practices.

Good fit

Ideal candidates have several years of backend engineering experience, particularly with microservices and API development. A collaborative mindset and a knack for problem-solving in a dynamic environment will help you thrive here.

Worth noting

The position emphasizes a strong team culture and mentorship, which is a plus for those looking to grow their skills. However, the role may involve shifting priorities, which could be challenging for those who prefer a more structured environment.

About Us

At Qloo, our cutting-edge Taste AI technology leverages extraordinary amounts of data—over half a billion records of public figures, places, and things, plus a globe-spanning consumer behavior and sentiment database—to unearth deep insights about consumer preferences. From understanding global travel trends to curating the perfect restaurant recommendation based on your unique tastes, our Taste AI engine sifts through the noise to find the signals that matter.

And the best part? Qloo's API suite is powered by cultural entities, not personal identities, ensuring our insights are derived without relying on personally identifiable information. Read more about our recent Series C funding here.

Role Overview

Reporting to the VP of Platform Engineering, you’ll collaborate closely with a team of 5-7 engineers who specialize in backend systems, scaling, resilience, API coding and management. Our team culture is highly collaborative and supportive, with everyone committed to raising the technical bar and delivering for our world-class clients.

In this role, you will have a direct impact on scaling, modernizing, and implementing our backend platform. You’ll work on high-impact projects such as introducing and coding microservices, enhancing observability, and driving performance and reliability across our APIs and data pipelines. You’ll play a key role in defining best practices and implementation details as we evolve our API gateway and containerized infrastructure. You will also implement features to unlock new capabilities for our clients, some of the most recognizable companies in the world, powering experiences that reach millions of users.

Responsibilities

+ 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.

Qualifications

+ 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.

We Offer

- 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.

Skills & Tags

node python typescript go aws ai backend data

Aplyr's read

Qloo leverages AI to decode cultural trends and consumer preferences, attracting data enthusiasts eager to shape business strategies through analytics.
Synthesized from recent postings & public sources

What's promising

•Qloo offers a cutting-edge platform for analyzing cultural and consumer data.
•The company is at the forefront of AI-driven market insights.
•Qloo's work environment fosters innovation in data analytics and machine learning.

What to watch

•Qloo operates in a highly competitive data analytics market.
•Dependence on AI models requires continuous updates and maintenance.
•Limited public information about company culture and employee satisfaction.

Why Qloo

•Qloo specializes in cultural trend analysis, a niche within data analytics.
•The platform integrates diverse data sources for comprehensive consumer insights.
•Qloo's AI-driven approach uniquely positions it to predict consumer behavior.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Qloo

Qloo

qloo.com

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Qloo is a data and AI-driven platform that provides insights into consumer preferences and cultural trends, helping businesses make informed decisions.