Senior Rust Engineer - Remote, Flexible Hours + Training Budget

Satalia; United States; Remote; USD 99,000 - 155,000; Full time

Benefits offered by this job

Private healthcare

Annual bonus

Training budget

Home equipment budget

Flexible hours

Job summary

Satalia is hiring a remote Rust engineer to build and improve high-performance distributed data processing and AI-driven optimisation. The role is permanent and remote, based in Greece, with collaboration across stakeholders and customers to ship production-grade software.

You will develop features, optimize latency, and operate containerised cloud systems on major cloud providers. The position emphasizes independence, TDD/BDD practices, and involvement in ML/AI products.

Qualifications

• Commercial Rust development experience
• Proficiency in low-latency data handling
• Understanding of distributed systems, scaling and resilience
• Experience building containerised solutions on AWS, GCP or Azure
• Familiarity with TDD/BDD, microservices, event-driven systems, Docker, Kubernetes and Terraform

Responsibilities

• Develop features and improve performance, reliability and resilience of Rust services.
• Process and transform data with low latency across distributed systems.
• Design robust software and optimisation algorithms for complex business needs.
• Work with project stakeholders and customers to shape and deliver services.
• Build and operate scalable containerised cloud systems using infrastructure as code.
• Contribute to products involving machine learning, optimisation and AI

Skills

Rust development

Low-latency data handling

Distributed systems

Independent work

Tools

Docker

Kubernetes

Terraform

AWS

GCP

Azure

Kustomize

Argo CD

Job description

Satalia is hiring a remote Rust engineer to build and improve high-performance distributed data processing and AI-driven optimisation. The role is permanent and remote, based in Greece, with collaboration across stakeholders and customers to ship production-grade software.

You will develop features, optimize latency, and operate containerised cloud systems on major cloud providers. The position emphasizes independence, TDD/BDD practices, and involvement in ML/AI products.