Site Reliability Engineer

MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.

As a Site Reliability Engineer, you will work closely with customers as well as the engineering team on enhancing, optimizing, validating and automating our cloud-native storage platform. Your role will be a mix of DevOps and software engineering to assure that MinIo is delivering a very high quality product with high-performance, scalability and durability to enable seamless data storage and retrieval for demanding workloads for customers.

This role requires deep expertise in DevOps practices, SRE, systems programming, distributed computing, and storage architectures. You will work closely with a world-class team of engineers to push the boundaries of object storage performance and reliability.

What You Will Do:

• Enhance, optimize, validate and automate core MinIO software for performance, scalability, and security.
• Help building and delivering high-performance distributed storage solutions with a focus on cloud-native architectures.
• Validate the MinIO Software according to customer environment and requirements, ensuring no surprises are observed at customer deployments.
• 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.

Your Skills and Experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of professional experience in software engineering.
• Desire and ability to directly work with customers to solve their problem with product enhancement and automation. 
• 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).