Pyyne
51 - 200 employees
Founded 2020
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Pyyne is an AI-native software firm that accelerates building and operating mission-critical software at scale. They provide end-to-end services including software engineering, cloud/DevOps and security, data and AI (including agentic workflows), and strategy/advisory (including interim CTO roles). With around 20 years of engineering experience and offices across New York, San Francisco, São Paulo, and Stockholm, Pyyne partners with enterprises to design, build, and operate scalable, secure, and AI-driven systems.
Senior Software Engineer
Job not on LinkedIn
🕒 July 30
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Pyyne
51 - 200 employees
Founded 2020
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Pyyne is an AI-native software firm that accelerates building and operating mission-critical software at scale. They provide end-to-end services including software engineering, cloud/DevOps and security, data and AI (including agentic workflows), and strategy/advisory (including interim CTO roles). With around 20 years of engineering experience and offices across New York, San Francisco, São Paulo, and Stockholm, Pyyne partners with enterprises to design, build, and operate scalable, secure, and AI-driven systems.
📋 Description
• Design, build, and maintain production-grade backend services and data pipelines • Own orchestration and deployment automation (Airflow, CI/CD) to ensure reliable, repeatable releases • Architect data warehousing solutions that support scalable, business-oriented systems • Mentor and support junior/mid-level engineers on the team • Contribute to the design and implementation of AI-powered features within the broader product architecture • Maintain clear technical documentation and follow structured Git/GitHub workflows • Participate in architecture and design decisions across client engagements
🎯 Requirements
• 5+ years writing high-quality backend Python in production environments • Hands-on data engineering experience: building, maintaining, and scaling data pipelines • Experience with Airflow or comparable workflow orchestration tools • Solid grasp of data warehousing concepts and implementation • Experience with deployment automation and CI/CD in production • Working knowledge of distributed systems fundamentals • Experience working in structured production environments • Strong communication skills, with both technical and non-technical stakeholders • Fluent English
🏖️ Benefits
• Don’t meet every single requirement? Apply anyway! At our core, we value growth, adaptability, and passion just as much as a checklist of skills.
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