Posted:2 weeks ago|
Platform:
Remote
Full Time
Cloud Atler is a global cloud marketplace that helps businesses compare, save, and transform how they gain value from cloud services. We aggregate Infrastructure as a Service (IaaS) offerings from major providers like AWS, Azure, GCP, Oracle, and top regional providers to deliver the best cloud deals, saving businesses up to 50%. Our solutions include global comparison, AI compute savings, smart scoring, geo-optimized matching, and transparency tools to reduce cloud waste. Cloud Atler's vision is to become the world's largest cloud marketplace by 2028.
We are looking for a passionate AI Engineer to join our team and help build our Cloud Marketplace platform with a strong focus on Infrastructure Automation and FinOps optimisation. This role is ideal for fresh graduates or early-career professionals who are eager to learn, experiment, and deliver real-world solutions in AI, cloud, and automation.
Key Responsibilities:
Construct and enhance data pipelines and ETL structure to extract pricing data from hyperscaler APIs (AWS, Azure, GCP, Oracle) and regional providers.
- Streamline validation, cleaning, and integration into Typesense/Elasticsearch.
- Design advanced search and marketplace systems incorporating fuzzy, semantic, and NLP-driven capabilities.
- Create ranking algorithms considering price, performance, region, and compliance aspects.
Our Ideal Candidate:
- Over 7 years of expertise in data engineering/architecture utilizing ETL frameworks like Airflow, dbt, Spark, and Kafka.
- Proficient in API integrations, data validation, and schema design.
- Hands-on experience with Typesense, Elasticsearch, or Solr.
- Skilled in Python, Go, or Node.js programming.
- Familiarity with cloud technologies: AWS/Azure/GCP, Docker, Kubernetes, Lambda.
- Additional assets: Background in FinOps, cloud cost management, SaaS marketplaces, or graph databases.
Good to have:
Cloud Atler
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