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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.
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
+ 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.
$145,000 - $165,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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