NoFluffJobs Praca zdalna Senior

DevOps Engineer

Acaisoft

⚲ Warszawa

21 840 - 26 880 PLN (B2B)

Wymagania

  • Python
  • Kubernetes
  • AWS
  • CI/CD

Opis stanowiska

O projekcie: Hi there! If you’re seeking a high-impact role within an ambitious and fast-growing software house, you might have just found your perfect match! We are seeking a highly skilled and experienced DevOps Engineer to join our team. You will be working with our US client on developing the enterprise platform for AI development and orchestration. Thanks to our client's solution, technical teams can unify data, model, and compute with the fastest path to a production-ready AI system. Wymagania: - Strong professional programming experience in Python (building CLI tools, SDKs, or interacting with APIs). - Deep, hands-on expertise with Kubernetes (going beyond basic deployments to RBAC, networking, and custom resources). - Solid experience with cloud platforms, particularly AWS and/or GCP (especially IAM, IRSA/Workload Identity, and networking). - Strong practical knowledge of Terraform and Helm. - Experience designing reliable, idempotent automation and CI/CD pipelines. - Solid understanding of container registries, security practices, and Linux fundamentals. - Ability to take ownership of complex architectural decisions and adapt to new projects. Nice to Have: - Experience writing or managing Kubernetes Operators or custom admission webhooks. - Knowledge of observability stacks (Prometheus, Grafana, Fluent Bit). Codzienne zadania: - Develop and maintain internal developer tools, CLIs, and automation scripts, primarily in Python. - Design, deploy, and manage complex Kubernetes environments across multiple cloud providers (AWS, GCP, Azure). - Architect and implement robust Cloud IAM, networking, and security policies. - Build programmatic infrastructure validation and testing frameworks. - Drive Infrastructure as Code (IaC) practices using Terraform and Helm. - Develop and optimize CI/CD pipelines and GitOps workflows. - Troubleshoot infrastructure issues and improve platform observability and cost-efficiency.