Podobne ogłoszenia

apreel

DevOps Engineer (Mid) @apreel

DevOps Engineer (Mid)

apreel
Warszawa
23.5k–26.0k PLN
B2B
#Docker#Kubernetes#Helm#AR#Jenkins#CI/CD#Monitoring tools#Cloud#Camunda#Azure
DevOps#Docker#Kubernetes#Helm#AR#Jenkins#CI/CD#Monitoring tools#Cloud#Camunda#Azure
23.5k–26.0k PLN
Warszawa
Praca hybrydowa
apreel

DevOps Engineer @apreel

DevOps Engineer

apreel
Warszawa
25.2k–26.9k PLN
B2B
#Azure#Prometheus#OpenStack#Project management#Kubernetes#Terraform#CI/CD#GitHub#Helm
DevOps#Azure#Prometheus#OpenStack#Project management#Kubernetes#Terraform#CI/CD#GitHub#Helm
25.2k–26.9k PLN
Warszawa
apreel

DevOps Engineer @apreel

DevOps Engineer

apreel
Warszawa
23.5k–26.0k PLN
B2B
#CI/CD#Docker#Helm#Camunda#AWS#Azure
DevOps#CI/CD#Docker#Helm#Camunda#AWS#Azure
23.5k–26.0k PLN
Warszawa
apreel

DevOps Engineer @apreel

DevOps Engineer

apreel
Warszawa
20.2k–26.9k PLN
B2B
#DevOps#Azure#Prometheus#Terraform#CI/CD
DevOps#DevOps#Azure#Prometheus#Terraform#CI/CD
20.2k–26.9k PLN
Warszawa
apreel

DevOps Engineer @apreel

DevOps Engineer

apreel
Warszawa
21.8k–26.0k PLN
B2B
#CI/CD#Camunda#Ansible#Azure#AWS
DevOps#CI/CD#Camunda#Ansible#Azure#AWS
21.8k–26.0k PLN
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speedapp

Azure Engineer @speedapp

Azure Engineer

speedapp
Warszawa
20.2k–23.5k PLN
B2B
#Azure#Prometheus#Kubernetes#Terraform#CI/CD
DevOps#Azure#Prometheus#Kubernetes#Terraform#CI/CD
20.2k–23.5k PLN
Warszawa
P&P Solutions

DevOps Engineer (Databricks / BI) @P&P Solutions

DevOps Engineer (Databricks / BI)

P&P Solutions
Zdalnie
21.8k–22.7k PLN
B2B
#Terraform#Python#Databricks#BI#SQL#Azure Data Factory#JDBC#CI/CD
DevOps#Terraform#Python#Databricks#BI#SQL#Azure Data Factory#JDBC#CI/CD
21.8k–22.7k PLN
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apreel

Site Reliability Engineer @apreel

Site Reliability Engineer

apreel
Zdalnie
21.8k–30.2k PLN
B2B
#Azure#Kubernetes#CI/CD
DevOps#Azure#Kubernetes#CI/CD
21.8k–30.2k PLN
Praca zdalna
TeamQuest

DevOps Engineer @TeamQuest

DevOps Engineer

TeamQuest
Warszawa
18.0k–24.0k PLN
B2B
#PostgreSQL#Ansible#Azure#AWS#Jenkins#CI/CD
DevOps#PostgreSQL#Ansible#Azure#AWS#Jenkins#CI/CD
18.0k–24.0k PLN
Warszawa
TeamQuest

DevOps Engineer @TeamQuest

DevOps Engineer

TeamQuest
Warszawa
18.0k–24.0k PLN
B2B
#DevOps#CI/CD#Kubernetes
DevOps#DevOps#CI/CD#Kubernetes
18.0k–24.0k PLN
Warszawa
Logo firmy
NOWE

DevOps Engineer

apreel
100% zdalnie (Warszawa)
DevOps
DevOpsAzureCI/CDAWSPythonAIMLTerraformKubernetes
Regular
PolskiAngielski
min. 4 lata doświadczenia
DevOpsAzureCI/CDAWSPythonAIMLTerraformKubernetesPolskiAngielski
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
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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.