Lead DevOps Engineer

2 tygodni temu


Warszawa, Mazovia, Polska Wolters Kluwer Pełny etat

Job Summary:

We are seeking an experienced Lead DevOps Engineer to lead the development and implementation of our GenAI infrastructure. This is a critical role that will require a strong background in cloud technologies, DevOps practices, and experience with GenAI applications.

Key Responsibilities:

  • Design and deploy scalable and resilient cloud infrastructure for GenAI applications.
  • Oversee the operational aspects of production systems, ensuring high availability, performance, and security.
  • Champion infrastructure as code, automation, and orchestration to streamline deployment and operational tasks.
  • Drive continuous improvement processes for system monitoring, disaster recovery, and security compliance.
  • Lead incident response initiatives and post-mortem analyses to mitigate future risks.
  • Collaborate with software engineering teams to ensure DevOps best practices are embedded throughout the software development lifecycle.
  • Mentor DevOps team members and promote knowledge sharing to enhance team capabilities.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related technical field.
  • A minimum of 10 years of experience in DevOps, systems administration, or related roles, with a proven track record in cloud-based environments.
  • Expertise in managing cloud infrastructure services (AWS, Azure, GCP) and cloud networking architectures.
  • Proficiency in IaC tools (Terraform, CloudFormation, Ansible) and CI/CD pipelines (Jenkins, GitLab CI, CircleCI).
  • Strong command of containerization technologies (Docker) and orchestration platforms (Kubernetes, ECS).
  • Experience with monitoring and logging solutions (Prometheus, Grafana, ELK stack) and implementing observability in complex environments.
  • Skilled in scripting languages (Python, Bash) and automation of routine tasks.

Preferred Skills:

  • Experience managing infrastructure specifically for AI or machine learning workloads.
  • Knowledge of security best practices, including network security, authentication, and authorization protocols.
  • Demonstrated leadership in managing cross-functional teams and projects.
  • Strong analytical and troubleshooting skills, capable of tackling complex, multi-faceted issues.
  • Excellent communication skills and the ability to articulate technical challenges and solutions to both technical and non-technical audiences.
  • A relentless commitment to continuous learning and staying abreast of the latest DevOps trends and technologies.

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