Senior ML Backend Engineer

September 17

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Description

•Design, build, and maintain highly reliable backend systems that scale to millions of requests per second (RPS). •Translate business goals into technical specifications and iterative development plans. We ship early and often, and our first customer of a new product or feature may involve deploying it to 500 million users. •Work with queue-driven and event-driven designs, REST APIs, serverless and microservice architectures, and multi-cloud/multi-CDN environments using Kubernetes and other orchestrators. •Write Python and JavaScript/TypeScript (JS/TS) as necessary to meet business objectives. •Focus on producing clearly structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests. •Collaborate with other backend developers to integrate your work with our infrastructure, including automating observability, deployment, quality, and security. •Participate in code reviews and architecture & design sessions. Stay up-to-date with recent developments in relevant technologies and assess their applicability. •Take ownership of tasks that are not fully defined, proactively helping the team to shape and implement them.

Requirements

•Thoughtful, conscientious, and self-directed individuals. •5+ years of professional experience building and maintaining large-scale production systems, with a focus on performance, scalability, and reliability. •In-depth knowledge of Python. •Experience with orchestration platforms (e.g., Argo, Kubernetes), containerization, and microservice design. •Experience with database systems (SQL, NoSQL), distributed systems and architectures, stream processing, test-driven development (TDD), and CI/CD. •Bachelor's degree or foreign equivalent in a technical or related field from an accredited college or university, or equivalent job experience. •Excellent communication, listening, and presentation skills, with experience interacting with diverse audiences and mentoring peers. •Experience leading technical discussions with a team and driving decisions by balancing trade-offs.

Benefits

•Fully remote position with flexible working hours. •An inspiring team of colleagues spread all over the world. •Pleasant, modern development and deployment workflows: ship early, ship often. •High impact: lots of users, happy customers, high growth, and cutting edge R&D. •Flat organization, direct interaction with customer teams.

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