20 200 – 27 700 PLN
netto /miesiąc
B2BEtat: 100%
DevOps Engineer (Mid)
apreel
Warszawa
B2B
DevOps Engineer
apreel
Warszawa
B2B
DevOps Engineer
apreel
Warszawa
B2B
Podobne ogłoszenia
DevOps Engineer (Mid) @apreel
DevOps Engineer (Mid)
apreel
Warszawa
B2B
Warszawa
Praca hybrydowa
DevOps Engineer @apreel
DevOps Engineer
apreel
Warszawa
B2B
Warszawa
DevOps Engineer @apreel
DevOps Engineer
apreel
Warszawa
B2B
Warszawa
DevOps Engineer @apreel
DevOps Engineer
apreel
Warszawa
B2B
Warszawa
DevOps Engineer @apreel
DevOps Engineer
apreel
Warszawa
B2B
Warszawa
Azure Engineer @speedapp
Azure Engineer
speedapp
Warszawa
B2B
Warszawa

DevOps Engineer (Databricks / BI) @P&P Solutions
DevOps Engineer (Databricks / BI)
P&P Solutions
Zdalnie
B2B
Praca zdalna
Site Reliability Engineer @apreel
Site Reliability Engineer
apreel
Zdalnie
B2B
Praca zdalna

DevOps Engineer @TeamQuest
DevOps Engineer
TeamQuest
Warszawa
B2B
Warszawa

DevOps Engineer @TeamQuest
DevOps Engineer
TeamQuest
Warszawa
B2B
Warszawa
Regular
XP
min. 4 lata doświadczenia
Regular
min. 4 lata doświadczenia
Kogo poszukujemy?
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.
Czym będziesz się zajmować?
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.
Gdzie i jak będziesz pracował?
Centrum, Warszawa
Tryb pracy: Elastyczne godziny pracy
Godziny pracy biura: 7-18
Model pracy
Stacjonarnie
Hybrydowo
100% zdalnie
Kim jesteśmy?
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.
