Sw Engineer

hace 2 semanas

Tijuana, México North American Production Sharing A tiempo completo

**Responsibilities**: - Build infrastructure as a code using Terraform. - Build, create, and enable Kubernetes clusters (GCP / AWS / Azure / RKE) - Manage and performance tune either database (NIFI, Elasticsearch) or streaming data pipelines (Kafka) - Manage and Create CICD pipelines, configuration, and automation tools for infrastructure provisioning. - Write and maintain runbooks for knowledge-driven automated processes and bots. - Do capacity planning based on performance, usage, and utilization stats. - Ensure system availability and business continuity by implementing redundant servers/services. - Manage after-hours infrastructure updates and maintenance. - Proactively research and propose the use of new concepts, processes, technologies, and tools. - Proactive monitoring, diagnosis, on-call rotation, and resolution of issues in a 24x7 multi-cloud environment (OpenStack), analyze failures, and provide support for software engineers to debug production issues across microservices and distributed platforms. - Follow SRE's best practices and procedures. **Experience Required For You To Be Successful**: - Follow SRE's best practices and procedures. - Laser focus and be able to design infrastructure solutions for scalability, reliability, high availability, performance, software maintainability, and operational excellence - The ability to "fix the plane while in flight" (not just support greenfield solutions) - The ability to prioritize existing technical and infrastructure debt, and experience to build and execute a plan to pay it off **Required skills**: - Delivering reliable operations for web-scale infrastructure for a global market at high release velocity - Must have proven experience of over 5 years with at least 1 of the languages: Go, Python or Java - Experience with Kafka, Kubernetes, NIFI, Elasticsearch, MongoDB, Vertica, Zookeeper, and IaC (Terraform). - 2+ years of industry experience in managing infrastructure in large enterprises. - 2 years of Linux administration in a large-scale SaaS environment. - 2+ years maintaining production systems on AWS and/or OpenStack, Azure and GCP. - 2+ years' experience in managing Kubernetes in a large-scale production environment - Strong familiarity in running and optimizing RDBs and NoSQL databases. - 2 years using infrastructure as code software (eg. Terraform, AWS and Google Cloud Deployment, CloudFormation). - 2 years of experience in continuous integration practices & tools (Jenkins) - Experience with monitoring solutions such as Prometheus, Grafana, and ELK.

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