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).
- Deep understanding of storage systems, file systems, or databases.
- Strong problem-solving skills and experience debugging complex, large-scale applications.
- Contributions to open-source projects are a plus.
- Ability to work in a fast-moving, collaborative environment with a strong sense of ownership.
- Empathy towards the customer and ability to quickly dig in to resolve any customer issue.
- Passion for innovation and staying current with technology trends.
- Self-motivation and a commitment to continuous learning and adopting new tools and frameworks.
- A strong sense of ownership and accountability in delivering high-quality work while directly working with customers..
- A collaborative and team-oriented mindset, thriving in environments that value open communication and shared goals.
- Ability to collaborate effectively with cross-functional teams, contributing to a positive and productive work environment.
- Attention to detail and fine craftsmanship.
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 5+ years of professional experience in software engineering
- Experience working directly with customers to resolve product issues and automate solutions
- 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 (or deep experience in C/C++/Rust with willingness to learn Go)
- Deep understanding of storage systems, file systems, or databases
- Strong problem-solving skills and experience debugging complex, large-scale applications
- Contributions to open-source projects
- Ability to work in a fast-moving, collaborative environment with strong ownership
- Empathy toward customers and ability to manage expectations
What We Do
MinIO has pioneered the creation of high-performance, kubernetes-native object storage. Their open source, software-defined, Amazon S3 compatible object storage system is optimized for the private cloud. It is the world's fastest growing object storage company, with more than 415M Docker pulls and more than 24K GitHub Stars. Enterprises use MinIO to deliver against ML/AI, analytics, application, backup and archival workloads - all from a single platform. The world's fastest object storage server, MinIO offers READ/WRITE speeds of 183 GB/s and 171 GB/s on standard hardware. In addition, MinIO was built from scratch in the last four years and is native to the technologies and architectures that define the cloud. These include containerization, orchestration with Kubernetes, microservices and multi-tenancy. MinIO offers a host of enterprise features including inline erasure coding, bit-rot detection, state-of-the-art encryption, active-active replication, object locking, lifecycle management and identity + access management. Commercial licenses and support are available through the MinIO Subscription Network. The Subscription Network is designed to optimize deployments of MinIO and reduce the risk associated with data loss and data breach while providing 24/7/365 direct-to-engineering support.
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