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29

Remote — AmericasWe’re hiring engineers to join our distributed engineering team:- DevOps Engineer: Terraform, Kubernetes, Docker, AWS/Azure/GCP, ArgoCD, GitHub Actions, Airflow, Kafka- AI Engineer: LLMs, ML, neural networks, AI system design, SageMaker/Vertex AI, Docker/Kubernetes- Data Engineer: Python, SQL, ETL/ELT pipelines, Airflow, dbt, data warehouses/lakes, AWS/GCP/Azure, Kafka/Spark- Full Stack Engineer: React, Node.js, Python, Java, or .NET; APIs, microservices, and DevOps/AI integrationsRequirements: Based in the US, Canada, or South America; strong English communication; experienced with AI-assisted development; comfortable with live technical interviews.Interview process: Application → Intro → Technical Interview → Live Final Interview.Full job description: [https://drive.google.com/file/d/1re66FJwcYm-04G9gOvDE3WqhOzP...](https://drive.google.com/file/d/1re66FJwcYm-04G9gOvDE3WqhOzP...)Interested?

Hiring: AI, Data, DevOps & Full Stack Engineers

Unknown Remote via HN: Who is hiring?

Description

Hiring: AI, Data, DevOps & Full Stack Engineers | Remote — Americas

We’re hiring engineers to join our distributed engineering team:

- DevOps Engineer: Terraform, Kubernetes, Docker, AWS/Azure/GCP, ArgoCD, GitHub Actions, Airflow, Kafka

- AI Engineer: LLMs, ML, neural networks, AI system design, SageMaker/Vertex AI, Docker/Kubernetes

- Data Engineer: Python, SQL, ETL/ELT pipelines, Airflow, dbt, data warehouses/lakes, AWS/GCP/Azure, Kafka/Spark

- Full Stack Engineer: React, Node.js, Python, Java, or .NET; APIs, microservices, and DevOps/AI integrations

Requirements: Based in the US, Canada, or South America; strong English communication; experienced with AI-assisted development; comfortable with live technical interviews.

Interview process: Application → Intro → Technical Interview → Live Final Interview.

Full job description: [https://drive.google.com/file/d/1re66FJwcYm-04G9gOvDE3WqhOzP...](https://drive.google.com/file/d/1re66FJwcYm-04G9gOvDE3WqhOzP...)

Interested? Contact Christopher Jorge, [email protected]

Why 29?

Each component's contribution, and the phrases that triggered it.

Location fit +12.5
Seniority fit +8.0
Recency +7.98

posted 0 days ago

Engagement type +3.75
Compensation fit +3.0
Rails stack fit 0.0
Red flags -5.0

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