Gorilla Logic
Gorilla Logic
501 – 1 000 Xodimlar
KonsaltingLogistikaMarketing
Gorilla Logic tashkilotlarga raqamli mahsulotlarni loyihalash, yaratish va modernizatsiya qilishda yordam beradigan dasturiy taʼminot va maʼlumotlar muhandisligi bo‘yicha konsalting kompaniyasidir. Kompaniya faoliyati raqamli mahsulot dizayni, bulutli muhandislik, maʼlumotlar va sunʼiy intellekt, DevOps, sifatni taʼminlash, eski tizimlarni modernizatsiya qilish hamda SaaS ishlab chiqishni qamrab oladi. Gorilla Logic Fortune 500 kompaniyalari va kichik hamda o‘rta bizneslarning biznes uchun muhim ilovalarini qo‘llab-quvvatlash maqsadida mahsulot dizaynerlari, yechimlar arxitektorlari va Agile asosida ishlaydigan yaqin hududdagi muhandislik jamoalarini birlashtiradi. Kosta-Rika, Kolumbiya, Meksika va Amerika Qo‘shma Shtatlaridagi jamoalari bilan Gorilla Logic raqamli mahsulotning butun hayotiy sikli davomida hamkorlikka va xavfsizlikka yo‘naltirilgan sherikliklar asosida ishlaydi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • Remote work arrangement
  • Full-time employment

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