Platform Engineer
$125k/y-$200k/y
20 hours ago
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HybridFull-timeMid
Summary
Oumi is seeking a Platform Engineer to join their engineering team in Seattle, WA. The role involves architecting, building, and maintaining core platform services that power their AI products.
About the Role
As a Platform Engineer, you will design and implement scalable platform architecture, develop robust backend services using Python, and collaborate on frontend integration. You will also implement infrastructure automation, provide technical leadership, and take ownership of features from concept to production in a fast-paced environment.
About You
Required:
- Proven experience in software development with strong understanding of programming languages such as Python, Rust, or JavaScript.
- Demonstrated success building systems from scratch in fast-paced environments.
- Strong proficiency in Python for backend development.
- Familiarity with cloud platforms (AWS/GCP/Azure).
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Excellent communication and collaboration skills.
Preferred:
- Knowledge of Rust or willingness to learn for performance-critical components.
- Ability to design clean APIs, scalable architectures, and efficient data models.
- Experience with CI/CD pipelines, monitoring, and observability tools.
- Familiarity with open-source projects and a passion for contributing to the open-source community.
Benefits
- Competitive salary: $125k–$200k
- Equity in a high-growth startup.
- Comprehensive health, dental, and vision insurance.
- 21 days PTO.
- Regular team offsites and events.
Oumi
Oumi is a community of researchers, developers, and institutions united in their mission to make frontier AI more open, collaborative, and accessible. Oumi offers an unconditionally open-source AI platform that empowers the broader community to push the boundaries of AI while enabling enterprises to enhance and truly own their AI destiny. The Oumi platform allows users to build, evaluate, and deploy cutting-edge AI models at any scale through an all-in-one, fully open-source solution.
Seattle, WA