Senior Engineer - Platform/Devops
Indexed description
About This Role
- 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
Nice to Have
Someone curious, resourceful, and self-taught Someone who enjoys solving hard problems with people, not just with tools Someone who can connect platform, infrastructure, security, and AI into practical outcomes Someone who brings clarity, ownership, and strong collaboration to complex environments
The Future We See
At CloudWalk, we envision a future where AI empowers every field to reach new heights:
- People teams leveraging AI to transform talent acquisition and employee development.
- Marketing professionals creating data-driven, AI-powered campaign strategies.
- Customer Success teams enhancing client experiences with intelligent solutions.
- Risk analysts combining human expertise with AI to navigate complexities.
- Designers collaborating with AI to push creative boundaries.
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