Live opening · Posted 1 day ago

Software Engineer Backend

DBByte · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyDBByte
LocationUnited States (Remote)
Work modeYes
SkillsPython, Java, AWS, Azure, GCP, Docker, Kubernetes
SourceLinkedin
ListedPosted 1 day ago

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About the role

Description supplied by the original job listing.

Company Description DBByte is a modern data infrastructure platform focused on speed, scale, and reliability. The company provides high-performance object storage and global content delivery that support fast, resilient applications across the internet. Designed for performance at every layer, DBByte simplifies how data is stored, served, and scaled, helping teams avoid infrastructure bottlenecks. By abstracting complexity and optimizing data workflows, DBByte enables product teams to iterate quickly and deliver robust, user-centric experiences.
Role Description The Software Engineer Backend will design, build, and maintain backend services and APIs that power DBByte’s data infrastructure platform. In this full-time remote role, the engineer will implement scalable, performant solutions for object storage and content delivery, optimize data access patterns, and ensure reliability and security of core systems. Day-to-day responsibilities include writing clean, tested code, performing code reviews, collaborating with frontend and infrastructure teams, and troubleshooting production issues. The engineer will also contribute to architecture discussions, improve monitoring and observability, and help refine technical standards and best practices.
Qualifications
Strong backend engineering skills in one or more modern programming languages (e.g., Go, Java, Python, Rust), with experience building APIs and distributed services.
Knowledge of data infrastructure concepts, including object storage, caching, and content delivery networks, and familiarity with performance optimization techniques.
Experience with relational and/or NoSQL databases, query optimization, and data modeling for scalable systems.
Proficiency with cloud platforms and containerization/orchestration tools (e.g., AWS, GCP, Azure, Docker, Kubernetes) for deploying and managing services.
Solid understanding of networking, security best practices, and reliability engineering (e.g., load balancing, monitoring, alerting, incident response).
Ability to write clear, maintainable code, perform thorough code reviews, and collaborate effectively in a remote, cross-functional environment.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience; experience in high-scale or infrastructure-focused products is a plus.

Work arrangement
Yes

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