Gorilla Logic
Gorilla Logic
501 – 1 000 Қызметкерлер
КонсалтингЛогистикаМаркетинг
Gorilla Logic — ұйымдарға цифрлық өнімдерді жобалауға, әзірлеуге және жаңғыртуға көмектесетін бағдарламалық жасақтама мен деректер инженериясы бойынша консалтингтік компания. Оның қызметі цифрлық өнім дизайнын, бұлттық инженерияны, деректер мен жасанды интеллектті, DevOps-ты, сапаны қамтамасыз етуді, мұра болып қалған жүйелерді жаңғыртуды және SaaS әзірлеуді қамтиды. Компания Fortune 500 тізіміндегі компаниялар мен шағын және орта бизнеске бизнес үшін маңызды қолданбаларды қолдау мақсатында өнім дизайнерлерін, шешімдер сәулетшілерін және Agile қағидаттарымен жұмыс істейтін жақын маңдағы инженерлік командаларды біріктіреді. Коста-Рика, Колумбия, Мексика және Америка Құрама Штаттарындағы командаларымен Gorilla Logic цифрлық өнімнің бүкіл өмірлік циклі бойында ынтымақтастыққа және қауіпсіздікке бағытталған серіктестік негізінде жұмыс істейді.

Senior Platform DevOps Engineer (Remote)

Join Gorilla Logic as a senior DevOps engineer supporting AWS and Kubernetes production platforms. Automate infrastructure, deployments, reliability, and production operations for teams working remotely from Colombia or Costa Rica.

Сипаттама

  • Operate and troubleshoot production Kubernetes clusters and workloads
  • Provision and enhance cloud infrastructure with Terraform and Infrastructure as Code practices
  • Oversee application deployments, upgrades, configuration updates, and complex release lifecycles
  • Use GitOps workflows and tools such as Argo CD to manage deployments
  • Create and maintain Python scripts and tools for platform automation and operational processes
  • Investigate and resolve incidents involving infrastructure, applications, and platform services
  • Strengthen platform reliability, scalability, observability, and operational efficiency
  • Support scaling and autoscaling strategies for production Kubernetes workloads
  • Partner with development and platform teams to address infrastructure and deployment issues
  • Contribute to technical decisions while identifying risks, reliability gaps, and improvement areas
  • Uphold high engineering and quality standards, offering constructive technical challenge when needed
  • Own platform initiatives and carry issues through resolution with limited supervision

Талаптар

  • Demonstrated hands-on experience operating Kubernetes in production
  • Experience deploying, scaling, troubleshooting, and administering Kubernetes workloads
  • Practical Terraform experience for provisioning and managing cloud infrastructure
  • Ability to read and write Python for scripting, automation, troubleshooting, and platform tooling
  • Experience with AWS infrastructure, preferably including EKS or a comparable managed Kubernetes service
  • Experience applying GitOps practices with tools such as Argo CD
  • Background managing complex application deployment and upgrade lifecycles
  • Proven ability to triage, troubleshoot, and support production incidents
  • Strong knowledge of infrastructure reliability, scalability, and operational best practices
  • Strong analytical skills and independence when investigating complex production problems
  • High ownership and accountability, with the ability to work effectively with limited supervision
  • Quality-focused judgment when balancing delivery speed, reliability, and maintainability
  • Strong written and verbal communication and collaboration skills
  • Preferred: Experience with Helm and Kubernetes package or deployment management
  • Preferred: Familiarity with PyTorch and Hugging Face Transformers
  • Preferred: Experience supporting GPU workloads or machine learning inference platforms
  • Preferred: Familiarity with NVIDIA Triton Inference Server
  • Preferred: Experience with Chainguard, distroless images, Trivy, or reducing container vulnerabilities
  • Preferred: Experience implementing or improving Kubernetes autoscaling
  • Preferred: Familiarity with Apache Kafka or comparable streaming and messaging systems
  • Preferred: Experience with Elasticsearch or ArangoDB
  • Preferred: Experience troubleshooting complex service-to-service networking
  • Preferred: Exposure to OpenShift, IL5, FedRAMP, or similarly restricted environments
  • Preferred: Familiarity with AI/ML or agentic AI development environments

Артықшылықтар

  • Remote work arrangement
  • Full-time employment

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