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Senior Platform Engineer

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Roles & Responsibilities

  • Experience with Docker and container orchestration
  • Proficient in database management with MariaDB
  • Strong background in system automation

Requirements:

  • Own the production system end-to-end
  • Automate the manual work
  • Design system scale strategies
  • Make build-vs-buy decisions on cloud services

Job description

🌍 Hello World!


We are The Codest -  International Tech Software Company with tech hubs in Poland delivering global IT solutions and projects. Our core values lie in “Customers and People First” approach that prioritises the needs of our customers and a collaborative environment for our employees, enabling us to deliver exceptional products and services.


Our expertise centers on web development, cloud engineering, DevOps and quality.  After many years of developing our own product - Yieldbird, which was honored as a laureate of the prestigious Top25 Deloitte awards, we arrived at our mission: to help tech companies build impactful product and scale their IT teams through boosting IT delivery performance. Through our extensive experience with product development challenges, we have become experts in building digital products and scaling IT teams. 


But our journey does not end here - we want to continue our growth. If you’re goal-driven and looking for new opportunities, join our team! What awaits you is an enriching and collaborative environment that fosters your growth at every step.

💡 The project:

We are looking for an experienced Senior Platform Engineer (full-time or part-time).

Own the production system end-to-end. Today the entire stack runs self-hosted on Docker Compose: a custom-built lighttpd with database-driven virtual hosts, MariaDB, a Kubo IPFS node, Dozzle for logs, and Uptime Kuma for monitoring. There is no CI/CD pipeline, no infrastructure-as-code, no application performance monitoring, and the scaling story is vertical for now. Your job is to keep the lights on, automate the manual work, design how this system scales, and make pragmatic build-vs-buy decisions on cloud services (load balancing, object storage, managed databases) as we grow.

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