Design and evolve Kubernetes architectures across multi-cluster environments
Build and improve platform foundations involving networking, storage, scalability, and resilience
Manage and standardize deployments using Helm Charts, Kustomize, and GitOps practices
Provision and maintain infrastructure using Terraform
Drive performance tuning and security hardening across clusters and workloads
Support cloud-native environments on GCP with a strong architecture mindset
Help define and improve networking and security architecture for distributed systems
Work with AI beyond simple chat assistant usage, applying it as a practical accelerator for analysis, operations, and problem-solving
Create and maintain development and operational scripts to improve efficiency and reliability
Read and interpret code when needed to troubleshoot behavior, assess risks, and collaborate with engineering teams
Communicate clearly across technical and non-technical stakeholders, building trust and strong collaboration across teams

Knowledge of Kubernetes and cloud infrastructure
Solid understanding of security, networking, and distributed systems
Experience with Terraform, GitOps, and infrastructure automation
Familiarity with Helm Charts and Kustomize
Practical use of AI as a real work tool, beyond simple chat interactions
Ability to read and interpret code for troubleshooting and technical decision-making
Excellent communication skills and a highly autonomous, self-learning mindset

Senior Engineer – Platform/DevOps

Key skills