Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Platform Support Engineer (Kubernetes): Supporting enterprise customers and internal users across SaaS, hosted/VPC, and air-gapped deployments with an accent on incident triage, Kubernetes investigation, GitOps-based fixes, and clear technical communication. Focus on diagnosing issues across application, cluster, and cloud layers, producing high-quality escalations, and building repeatable runbooks and support processes.
Location: New York City; hybrid work from the New York City office 3 days per week. Planned evening shifts and a weekend rota are included.
Company
hirify.global is a physics AI company building simulation software for industrial engineering and manufacturing, with applications across aerospace and defence, automotive, semiconductors, materials, and energy and renewables.
What you will do
Own customer and internal platform issues from intake through resolution, including triage, severity classification, investigation, updates, and escalation.
Investigate Kubernetes workloads, ingress, permissions, cluster health, events, and logs across product, platform, infrastructure, and customer environments.
Use Linux, containers, Helm, monitoring signals, and cloud fundamentals to identify whether problems originate in the application, cluster, or cloud layer.
Apply GitOps practices through reviewed pull requests, track drift, and document urgent stabilization actions and lasting fixes.
Communicate clearly with customers and stakeholders, including coaching engineers during air-gapped deployments and prioritizing competing issues.
Write runbooks, improve repeatable fixes, and help establish the support function across SaaS, hosted/VPC, and air-gapped deployments.
Requirements
Clear communication with non-technical stakeholders during live incidents and remote guidance.
Sound triage and escalation judgment, including distinguishing product defects from deployment, configuration, and customer-side issues.
Working familiarity with Kubernetes, including investigating pods that fail to start or repeatedly restart and knowing when to escalate.
GitOps mindset with Git as the source of truth, pull-request-based changes, and environment promotion.
Strong Linux and troubleshooting fundamentals.
Cloud fundamentals covering networking, compute, storage, and IAM, plus comfort reading logs, metrics, and alerts.
Comfort working across teams and adapting to change in a fast-moving new function.
Nice to have
Experience with structured support or incident management, including ITSM, severity classification, and post-incident reviews.
Hands-on experience with Argo CD, Helm, Docker, or YAML troubleshooting.
Deeper EKS or AKS experience.
Experience across SaaS, VPC, and air-gapped deployments.
Experience writing runbooks and improving playbooks.
Culture & Benefits
Opportunity to help shape an AI-native engineering company at a formative stage.
Collaborative, diverse, and flat working environment with emphasis on impact and continuous learning.
Equity options and a 5% 401(k) contribution.
Private health insurance, FSA, enhanced parental leave, and 20 days of annual leave plus public holidays.
Weekly team lunch, personal development support, and subsidized Gympass/Wellhub for the employee and up to three family members.
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