---
title: DevOps Engineer
company: apreel
category: DevOps
subcategory: DevOps
experience_level: Regular
work_mode: remote
location: Warszawa
employment_type: B2B
salary_min: 20200
salary_max: 27700
salary_currency: PLN
salary_period: month
technologies: [DevOps, Azure, CI/CD, AWS, Python, AI, ML, Terraform, Kubernetes]
posted: 2026-04-23
valid_through: 2026-06-24
url: "https://solid.jobs/offer/31123/apreel-devops-engineer"
---

# DevOps Engineer — apreel

## Kluczowe informacje

- **Firma:** apreel
- **Lokalizacja:** Centrum, Warszawa
- **Tryb pracy:** 100% zdalnie
- **Wynagrodzenie:** 20.2k–27.7k PLN netto/m (B2B)
- **Forma zatrudnienia:** B2B
- **Wymiar etatu:** 100%
- **Godziny pracy:** Elastyczne godziny pracy
- **Poziom doświadczenia:** Regular
- **Minimalne doświadczenie:** 4 mies.
- **Kategoria:** DevOps
- **Specjalizacja:** DevOps
- **Data publikacji:** 2026-04-23
- **Aktywne do:** 2026-06-24

## Technologie i umiejętności

**Wymagane:**

- DevOps — zaawansowany
- Azure — zaawansowany
- CI/CD — zaawansowany
- AWS — zaawansowany
- Python — zaawansowany
- AI — zaawansowany
- ML — zaawansowany
- Terraform — zaawansowany
- Kubernetes — zaawansowany

## Języki

- Polski — ekspert
- Angielski — zaawansowany

## Opis stanowiska

Your key responsibilities:     Design and maintain CI/CD pipelines incorporating AI/ML tools and frameworks.    Collaborate with AI teams to deploy and scale machine learning models into production environments.    Integrate AI-based monitoring, alerting, and analytics tools to enhance pipeline visibility and enable predictive analysis.    Optimize infrastructure resource utilization for AI applications across cloud, on-premises, or hybrid environments.    Ensure robust security practices within AI-driven pipeline ecosystems.    Troubleshoot pipeline and infrastructure issues, particularly those involving AI components, and guarantee high availability.    Monitor system performance and implement improvements using AI-enhanced tools.

## Kogo szukamy

Skills and attributes for success:     Expertise in DevOps tools such as Jenkins, GitHub Actions, Kubernetes, Docker, and Terraform.    Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services.    Familiarity with pipeline optimization tools like MLflow, Kubeflow, or Airflow tailored for AI workflows.    Proficiency in scripting and programming languages (Python, Bash, YAML, etc.).    Ability to implement automated testing frameworks for validating AI models and workflows.    Experience in creating secure environments specific to AI-driven systems.    Proven capability to integrate AI-powered monitoring tools like AIOps, Grafana with ML plugins, or custom AI-based diagnostics.     Must have:     Bachelor's degree in Engineering, IT, Science, other Technical qualification    Demonstrable experience with DevOps tools and frameworks commonly used in AI/ML workflows.    5+ years in a related position.     Ideally, you’ll also have     Certifications in DevOps or AI/ML (e.g., Kubernetes, AWS Machine Learning Specialty).    Experience working with AIOps platforms.    Knowledge of specialized data pipeline automation tools designed for machine learning contexts.    Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn, especially in production environments.

## Lokalizacje

- Centrum, Warszawa, Polska

## O firmie — apreel

**Wielkość firmy:** 300

Firma apreel powstała w kwietniu 2010 roku. W miarę rozwoju firmy i równolegle ze wzrostem poziomu zaufania klientów, jej działalność poszerzyła się o usługi Outsourcingu Specjalistów IT. Dziś to właśnie ten obszar stanowi główny filar działalności apreel.

## Aplikuj

Aplikuj na: https://solid.jobs/offer/31123/apreel-devops-engineer

---

*Źródło: https://solid.jobs/offer/31123/apreel-devops-engineer · Wygenerowano: 2026-05-31T09:34:29Z*