
51 - 200 employees
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Prefect is a platform that provides modern workflow orchestration for data and machine learning engineers. It allows users to easily and efficiently orchestrate any Python workflow using dynamic, right-sized infrastructure. Prefect focuses on orchestration and observability of code, providing features like scheduling, automatic retries, visibility into workflows, and the ability to configure execution environments. The platform supports pure Python code, allowing the flexibility to write code without boilerplate or strict Directed Acyclic Graphs (DAGs), and aims to offer prompt recovery from failures with custom retry behaviors and caching. It offers both cloud and open source solutions, assisting developers in building and deploying data pipelines with ease and full visibility.
🔥 5 minutes ago
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51 - 200 employees
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Prefect is a platform that provides modern workflow orchestration for data and machine learning engineers. It allows users to easily and efficiently orchestrate any Python workflow using dynamic, right-sized infrastructure. Prefect focuses on orchestration and observability of code, providing features like scheduling, automatic retries, visibility into workflows, and the ability to configure execution environments. The platform supports pure Python code, allowing the flexibility to write code without boilerplate or strict Directed Acyclic Graphs (DAGs), and aims to offer prompt recovery from failures with custom retry behaviors and caching. It offers both cloud and open source solutions, assisting developers in building and deploying data pipelines with ease and full visibility.
• Own meaningful distributed systems in Prefect Cloud, including orchestration, APIs, data paths, and services that keep the platform reliable at scale • Apply query-engine and data-processing expertise to planning, executing, partitioning, moving, and observing work across the platform • Make technical tradeoffs visible and determine when to prototype or harden solutions • Work directly from product, customer, enterprise, and GTM context; shape problems in an environment without a dedicated PM for every project • Use AI-powered development tools in planning, implementation, review, testing, and iteration • Write maintainable code, build for reliability, participate in on-call and incident response, and improve owned systems over time • Provide design feedback, code review, mentoring, and clear written communication
• Senior-level back-end or systems engineering experience owning large-scale distributed systems in production • Meaningful experience designing, building, or materially extending a query engine, analytical database, streaming system, or distributed data-processing runtime • Strong computer-science and distributed-systems fundamentals, including concurrency, consistency, performance, reliability, and failure • Able and willing to write production Python; prior systems experience may be in Python, Rust, Go, C++, Java, or another suitable language • Strong product instincts and comfort in a small, fast-moving, low-process environment without a dedicated PM • Curiosity, self-direction, and expanding ownership of difficult problems • Effective use of AI-powered engineering tools such as Claude Code, Codex, Cursor, Copilot, or comparable workflows • Ability to communicate tradeoffs clearly in writing and discussion and bring engineers along through review and design work • Full-stack or product engineering exposure is a bonus
• Remote-first team with flexible-first culture • Equity Stock Options • 401(k) with 5% company match, vesting immediately • Unlimited PTO • Medical, Dental and Vision insurance • Generous Parental Leave • Life Insurance and Disability benefits • USD 800/month remote work stipend
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