AWS Cloud DevOps Engineer – Kubernetes & AI Infrastructure

40k - 60k PLN40 000 - 60 000 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

SeniorFull-time·Umowa o pracę

#373598·Dodano dziś·0

Źródło: ITDS

Tech Stack / Keywords

There is no specific information provided for placement in the current data set.

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.
Ability to work collaboratively across teams supporting model serving and inference workloads.
Passion for continuous learning and innovation in AI infrastructure.
Nice to have: Experience with LLM inference workloads, GPU-backed AI infrastructure, RAG systems, vector databases, AI data platforms, internal API and platform service development, agentic AI architectures, and certifications such as CKA, CKAD, or AWS Solutions Architect.
Preferred: 4+ years of experience in Cloud, DevOps, or Platform Engineering roles and background in high-performance or latency-sensitive environments.

Lead design, implementation, and management of AI platform environments on AWS and Kubernetes.
Manage Kubernetes cluster operations, multi-tenancy, and GPU scheduling.
Utilize AWS services such as EKS, EC2, IAM, networking, and cost management.
Build and maintain CI/CD pipelines and GitOps workflows.
Define, monitor, and manage infrastructure SLOs.
Collaborate across teams supporting model serving and inference workloads.

ITDS

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