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AWS Cloud DevOps Engineer – Kubernetes & AI Infrastructure

Wroclaw
On site

40 000 - 60 000

PLN

gross (Employment Contract)

There is no specific information provided for placement in the current data set.
English
Mid-Level, Senior
Banking, Finance, Financial Management, Investment Banking
Devops

Join Our Team as an AWS Cloud DevOps Engineer – Shape the Future of AI Infrastructure!

Are you a passionate Cloud and DevOps professional with a knack for building robust, scalable infrastructure? We’re seeking a talented AWS DevOps Engineer to lead the design, implementation, and management of cutting-edge AI platform environments. In this pivotal role, you will play a crucial part in powering innovative AI solutions, ensuring reliability, security, and scalability across AWS and Kubernetes platforms. If you thrive in dynamic environments and are eager to impact the future of AI technology, this is your opportunity to make a real difference!

What You’ll Bring:

  • Strong expertise in Kubernetes, including cluster operations, multi-tenancy, and GPU scheduling.
  • Extensive hands-on experience with AWS services such as EKS, EC2, IAM, networking, and cost management.
  • Proficiency in Python and infrastructure-as-code tools like Terraform.
  • Proven background in building and maintaining CI/CD pipelines and GitOps workflows.
  • Ability to define, monitor, and manage infrastructure SLOs.
  • Ownership-driven mindset with excellent problem-solving skills and the ability to work effectively in ambiguous environments.

Nice to Have:

  • Experience supporting large language model (LLM) inference workloads or GPU-backed AI infrastructure.
  • Familiarity with RAG systems, vector databases, and AI data platforms.
  • Knowledge in developing internal APIs and platform services.
  • Understanding of agentic AI architectures.
  • Certifications such as CKA, CKAD, or AWS Solutions Architect.

Preferred Education & Experience:

  • 4+ years of experience in Cloud, DevOps, or Platform Engineering roles.
  • Background working in high-performance or latency-sensitive environments.

Additional Requirements:

  • Ability to work collaboratively across teams supporting model serving and inference workloads.
  • Passion for continuous learning and innovation in AI infrastructure.

Don’t miss the chance to be at the forefront of AI platform engineering—apply now to join a forward-thinking organization where your skills will drive transformative technology solutions!

Internal number #9334

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