Remote Dev Platform Ops Engineer - Poland

Regnology; Polska; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

Regnology is seeking an Environment Manager to join the Environment Management & FinOps (EMF) team. You will operate and improve shared development, test and pre-production environments used by R&D teams globally, with a focus on automation, reliability, and cost optimization.

You will collaborate with R&D, Platform Engineering, Infrastructure, and Finance to ensure Start-of-Day readiness, path-to-live alignment, and developer productivity in a self-service, AI-assisted environment.

Qualifications

• Several years of hands-on experience in DevOps or Platform Engineering.
• Experience with Kubernetes and at least one major cloud platform.
• Experience with Infrastructure as Code and automation (Terraform, scripting).
• Ability to work across teams and communicate clearly in English.

Responsibilities

• Keep shared development, test and pre-production environments healthy and ready for engineering teams across regions.
• Monitor environment health, investigate incidents, troubleshoot complex issues and coordinate root-cause resolution.
• Automate repetitive operational work using IaC, GitOps, scripting, runbooks and safe self-service capabilities.
• Maintain EMF's Command Center and FinOps Platform documentation and KPIs; collaborate with R&D, Platform, Infra and Finance.

Skills

DevOps

Platform Engineering

Cloud Operations

Troubleshooting

Communication in English

Tools

Kubernetes

Terraform

Python

Bash

PowerShell

GitLab

Jenkins

ArgoCD

Job description

Regnology is seeking an Environment Manager to join the Environment Management & FinOps (EMF) team. You will operate and improve shared development, test and pre-production environments used by R&D teams globally, with a focus on automation, reliability, and cost optimization.

You will collaborate with R&D, Platform Engineering, Infrastructure, and Finance to ensure Start-of-Day readiness, path-to-live alignment, and developer productivity in a self-service, AI-assisted environment.