10 дней назад
Cloud Developer (AI)
92 700 - 213 500$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Cloud Developer (AI) (Golang/Kubernetes): Building core components of a Kubernetes-based private cloud AI platform and production-ready backend services with an accent on scalability, reliability, security, and cloud-native delivery. Focus on designing platform controllers, resolving complex cross-layer issues across applications, Kubernetes, CSI drivers, and storage, and guiding less experienced developers.
Location: Onsite, primarily from an HPE office in the United States; salary information references North Carolina and Texas
Salary: USD 92,700–213,500 annual base salary in North Carolina and Texas; variable incentives may also be offered.
Company
develops edge-to-cloud technologies and private cloud AI solutions.
What you will do
- Design, develop, and own core components of a Kubernetes-based private cloud AI platform.
- Translate feature specifications into robust designs, implementation plans, and production-ready code.
- Build and evolve scalable, reliable, and secure backend services and controllers in Golang.
- Debug and resolve complex issues spanning applications, Kubernetes, CSI drivers, and external storage.
- Drive CI/CD practices for deploying and managing cloud-native services.
- Contribute to architecture decisions, code reviews, technical guidance, and collaboration with product managers and engineers.
Requirements
- Bachelor’s degree or higher in Computer Science or a related field.
- 1–5 years of professional experience in cloud or platform engineering roles.
- Hands-on experience with Kubernetes, containerized systems, and CSI/PV/PVC lifecycle management.
- Experience with infrastructure layers including Linux, servers, storage, and networking.
- Advanced Golang and shell scripting skills, with strong Linux, storage, and security fundamentals.
- Hands-on experience with Git, GNU Make, and CI/CD pipelines; primary experience must be in software development rather than DevOps or infrastructure engineering.
Nice to have
- Experience with AWS, GCP, or Azure and managed cloud services.
- Familiarity with Postgres, Redis, object storage, KVM, and backup or restore tools such as Velero or Kasten.
- Experience with Kubernetes ecosystem tools including Cert-Manager, Istio, Kyverno, MetalLB, and Prometheus.
- Experience designing and implementing REST APIs.
Culture & Benefits
- Health, financial, and emotional wellbeing benefits for employees and their families.
- Professional development programs supporting career growth and internal mobility.
- Inclusive work environment that values varied backgrounds and individual uniqueness.
- Variable incentives may be offered in addition to base salary.
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