DevOps Engineer

Solid Company; Warszawa; Hybrid; PLN 180,000 - 250,000; Full time

Job summary

Solid Company is seeking a senior DevOps engineer to design and maintain CI/CD pipelines for AI/ML workloads. You will collaborate with AI teams to deploy models into production across cloud, on-prem, or hybrid environments.

You will implement AI-driven monitoring, security, and optimization of resources, ensuring high availability and robust performance of AI pipelines.

Qualifications

• Bachelor's degree in Engineering, IT, Science or related technical qualification.
• 5+ years in a related position.
• Demonstrable experience with DevOps tools and AI/ML workflows.
• Experience with AI/ML pipelines and cloud services.

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.
• Optimizeinfrastructure resourceutilizationfor 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.

Skills

Jenkins

GitHub Actions

Kubernetes

Docker

Terraform

AWS

Azure

Google Cloud

MLflow

Kubeflow

Airflow

Python

Bash

YAML

Automated tests

Security

Education

Bachelor's degree in Engineering or IT

Tools

AIOps platforms

Grafana

ML plugins

TensorFlow

PyTorch

Scikit-learn

Job description

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.


• Optimizeinfrastructure resourceutilizationfor 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 poszukujemy?

Skills and attributes for success:

• Expertisein 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 likeMLflow, Kubeflow, or Airflow tailored for AI workflows.


• Proficiencyin 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, otherTechnicalqualification


• Demonstrable experience with DevOps tools and frameworks commonly used in AI/ML workflows.


• 5+ years in a related position.

Ideally,you’llalso 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.