**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 general 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.

📌 Sw Engineer (Tijuana)
🏢 North American Production Sharing
📍 Tijuana