Y

Cloud Platform Engineer

yora sigma United State
Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Design and evolve cloud platforms for large-scale data ingestion and processing. Build end-to-end pipelines and reason about consistency models, failure modes, scalability, and observability. Collaborate closely with engineers working on AI, autonomy, and embedded systems.

Key Highlights
Design and evolve cloud platforms
Build end-to-end pipelines
Reason about consistency models and failure modes
Key Responsibilities
Design and evolve cloud platforms for large-scale data ingestion and processing
Build end-to-end pipelines: edge/system → cloud → analytics / ML → deployment
Reason about consistency models, failure modes, scalability, and observability
Design DevOps / DevSecOps foundations as system properties, not afterthoughts
Own long-term architectural decisions used by multiple senior engineering teams
Collaborate closely with engineers working on AI, autonomy, and embedded systems
Technical Skills Required
Distributed systems Cloud platforms Data infrastructure DevOps DevSecOps AI Autonomy Embedded systems
Benefits & Perks
Relocation package provided
USA relocation required

Job Description


This opportunity is for those who design cloud systems from first principles, and who understand that architectural decisions don’t just solve problems, they shape entire engineering organizations.

We’re looking for a Cloud Platform Engineer with research-level understanding of distributed systems, someone who is equally comfortable reasoning about consistency, failure domains and scaling limits as they are building production platforms that support AI-driven, data-intensive and safety-critical systems.

The role is based in the USA and requires relocation.

What you’ll do

– Design and evolve cloud platforms for large-scale data ingestion and processing

– Build end-to-end pipelines: edge/system → cloud → analytics / ML → deployment

– Reason about consistency models, failure modes, scalability and observability

– Design DevOps / DevSecOps foundations as system properties, not afterthoughts

– Own long-term architectural decisions used by multiple senior engineering teams

– Collaborate closely with engineers working on AI, autonomy and embedded systems

What you bring

Research-level understanding of distributed systems, cloud platforms or data infrastructure

– Ability to explain why an architecture works, not just how it is implemented

– Experience designing platforms that others build entire products or programs on

– Strong grounding in reliability, security, data lineage and system evolution

– Comfort acting as technical authority in ambiguous, high-impact environments

– Willingness to relocate to the USA

Who you are

With your extensive experience in the field and history of building for large scale, you think globally, not locally. Before you even start you already have a plan for designing for failure, scale and change, not just today’s requirements. Simplicity and the user's perspective drives your work forward. You’re calm under responsibility and precise in your reasoning.

About Yora

This opportunity is facilitated by Yora, a tech hub working with world-class organizations on roles where the technical bar is genuinely high.

We strive to be a bold, value-driven tech hub dedicated to providing cutting-edge AI, cloud, and cybersecurity solutions. Our mission is to empower businesses through innovative technology, creative solutions, and long-term partnerships.

🟣 Brave thinking.

🟠 Diverse unity.

🌍 From Gothenburg - to the world.

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