![Sleip](https://media.trabajo.org/img/noimg.jpg)
Cloud Infrastructure Architect
5 hours ago
Sleip is a pioneering computer vision software company specializing in biomechanical motion quantification and measurements, particularly in Equine Gait Analysis.
Our cutting-edge AI model processes video recordings to extract detailed movement patterns, aiding in the identification, assessment, diagnosis, and monitoring of lameness in horses. Our primary customers are equine veterinary practices worldwide who rapidly adopt our technology and product.
The Role
We are seeking a full-time Senior Backend Developer to join our team at Sleip's HQ in Stockholm. As a key member, you'll be instrumental in shaping the architecture of our backend services while working with leading cloud technologies like Kubernetes, GPUs, and Cloud Run.
This role combines building customer-facing features with architecting scalable systems from scratch. You'll collaborate closely with the product team to drive innovation, focusing on reducing cloud costs, optimizing performance, and delivering impactful features.
Key Responsibilities
- Design and evolve our backend services for efficient scalability and high performance.
- Work with product teams to build and deploy customer-facing features.
- Leverage cloud infrastructure (GCP, Kubernetes, GPUs, Cloud Run) to implement robust solutions.
- Continuously optimize systems for cost-efficiency and performance.
- Develop and maintain CI/CD pipelines for seamless deployments.
Who We Are Looking For
We seek an adaptable and collaborative individual comfortable working autonomously and taking ownership of complex projects. Fluency in English is essential for clear communication with the team and stakeholders.
A resilient and proactive candidate able to maintain direction and keep projects on track despite unexpected challenges is ideal.
Requirements
- Deep experience with Node.js and TypeScript, focusing on building scalable backend APIs.
- Strong knowledge of Google Cloud Platform (GCP) services, particularly Firebase, Firestore, GKE, Cloud Run, and PubSub.
- Hands-on experience with Terraform for infrastructure as code and cloud automation.
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