Software Engineer, Customer Infrastructure - Remote

Overview

MinIO is the leader in high-performance, hyper-scale object storage. The company’s commercial offering, AIStor, is built for the exascale data infrastructure challenges presented by modern AI workloads. Designed for mission-critical, production workloads, MinIO is deployed by 77% of the F100 and powers many of the largest private cloud AI deployments in the world. MinIO is looking for a Software Engineer.

In Short

• Enhance, optimize, validate and automate core MinIO software for performance, scalability, and security.
• Help build and deliver high-performance distributed storage solutions with a focus on cloud-native architectures.
• Validate the MinIO Software according to customer environment and requirements.
• Improve existing features, fix critical issues, and contribute to open-source repositories.
• Collaborate with other engineers to refine architecture, APIs, and integrations.
• Write efficient, well-documented, and maintainable code.
• Conduct performance benchmarking and debugging of complex storage environments.
• Work closely with customers to address issues and manage expectations.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of professional experience in software engineering.
• Experience in DevOps, GitOps, Automation and testing frameworks.
• Expertise in distributed systems, networking, or high-performance computing.
• Experience with cloud-native technologies (Kubernetes, containers, microservices).
• Strong proficiency in Go desired (or deep experience in C/C++/Rust with a willingness to learn Go).
• Strong problem-solving skills and experience debugging complex, large-scale applications.
• Ability to work in a fast-moving, collaborative environment with a strong sense of ownership.

Benefits

• Opportunity to work with a world-class team of engineers.
• Contributions to open-source projects are encouraged.
• Focus on innovation and staying current with technology trends.
• Collaborative and team-oriented work environment.
• Support for continuous learning and adopting new tools and frameworks.