Noesis is looking for professionals with the following profile: Main Tasks and Responsibilities: Build and maintain Kubernetes Operators, including deployment, monitoring and operations by the team; Engage in development tasks using Go, or similar languages; Automate all aspects of the cloud infrastructure and incident response; Contribute to the self-healing capabilities of applications in our enterprise environments; Develop playbooks associated with actionable alerts to streamline response procedures; Container orchestration with Kubernetes; Maintain and improve the product deployment pipeline; Participate in incident response, root cause investigation and resolution; Maintain and enhance our Infrastructure as Code (IaC) to efficiently manage end-to-end lifecycle operations (monitoring, alerting, security, cost optimization, configuration, backup, etc.) in production environments; Utilize your experience and problem solving skills to help prevent and investigate production issues; Experience working with Generative AI (GenAI) tools is a plus.
Profile: A bachelor's degree in Computer Science, Information Systems, or the equivalent combination of education, experience, and training; Programming skills in languages such as Go or/and Python; 8+ years of professional experience; Hands-on experience with Container Technologies and Orchestration such as Kubernetes.
( CKA or Openshift certification is required); Familiarity with CI/CD pipelines with Github Actions or similar and GitOps tools such as Argo CD; Knowledge or experience working with Cloud Providers, with a preference for Azure or GCP Cloud; Knowledge or experience in utilizing monitoring and observability stacks like Grafana and Prometheus; Knowledge or experience in Infrastructure-as-Code (IaC) practices and knowledge or experience in tools like Terraform and Crossplane; Knowledge or experience in Linux.
If you meet these requirements and are interested in joining an audacious and innovative company, please send us your application.
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All our recruitment and selection processes are based on equal opportunities, valuing the competence and potential of each person and ensuring that no candidate is discriminated on the grounds of gender, ethnicity, sexual orientation, age, religion or physical condition.
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