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Текст:
Hirify AI/Оригинал
TL;DR
Senior DevOps Engineer (AI) (Kubernetes/AWS/GitOps): Building self-service cloud platforms, GitOps delivery pipelines, and deployment guardrails for infrastructure powering live sports streaming with an accent on Kubernetes operations, AWS platform engineering, and AI-assisted delivery. Focus on designing golden paths, improving rollout safety and auditability, and enabling product teams to deploy independently at high velocity.
Location: Czech Republic; remote workplace type. Hybrid and remote options are available across the Czech offices in Prague, Hradec Králové, and Zlín.
Company
hirify.global is a custom product engineering company supporting multinational organizations and scaling startups with end-to-end technology solutions.
What you will do
Build and maintain GitOps-based delivery pipelines with ArgoCD so product pods can deploy safely without DevOps intervention.
Design self-service tooling, including golden paths, deployment templates, and scaffolding.
Implement deployment safety guardrails such as configuration diffing, change ownership, rollout strategies, and audit trails.
Contribute to the reliability, scalability, and operational excellence of a cloud platform powering live sports streaming and ML-driven monetization.
Adopt AI tools and agentic workflows to accelerate development, automation, and operational delivery.
Requirements
5+ years of experience in infrastructure, DevOps, or platform engineering roles.
Production-grade Kubernetes experience, including EKS or GKE, GitOps with ArgoCD or Flux, service mesh, multi-tenant cluster operations, and resource management.
Deep hands-on experience with GitOps and CI/CD, including ArgoCD or Flux, Kustomize or Helm, rollout strategies, deployment safety, change ownership, and audit trails.
Strong AWS platform experience with EC2, EKS, S3, CloudFront, IAM/IRSA, VPC networking, RDS, and cost optimization levers.
Platform engineering orientation focused on self-service platforms rather than one-off scripts or manual runbooks.
AI-first approach with fluent, active use of AI tools to accelerate development and operations.
Ownership mentality, including end-to-end responsibility for outcomes and translating infrastructure complexity into business impact.
People leadership skills, including mentoring and developing engineers and conducting technical interviews.
Nice to have
GCP experience with GKE, GCS, or Cloud Run, or hybrid multi-cloud operations.
Video streaming infrastructure experience, including HLS, RTMP, CDN optimization, or live video pipelines.
FinOps and cost optimization experience, including cost attribution, right-sizing, and storage lifecycle policies.
Development experience with Python, Go, Node.js, or similar.
Culture & Benefits
Flexible working hours with remote, hybrid, and home office options.
Five weeks of holiday and five sick days.
Meal allowance, Multisport Card, and office amenities including fresh fruit, coffee, and a weekly company breakfast.
Internal workshops, seminars, paid certifications, technical and soft-skills training, and opportunities to attend international conferences.
Loyalty and referral bonus programmes, plus corporate events and team-building activities.
One Team culture focused on collaboration, innovation, empowerment, and progress.
Hiring process
Submit an application to hirify.global.
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