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CloudWalk

CloudWalk - Senior Engineer

Remote - São Paulo5d ago
RemoteSeniorLATAMCloud ComputingArtificial IntelligenceSenior Software EngineerCloud EngineerKubernetesTerraformHelmKustomizeGCP

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Requirements

• 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 • 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. We believe the next generation of infrastructure will be more intelligent, more secure, and more adaptive and that the people building it must be just as versatile. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Responsibilities

• 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

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