Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная роль Senior SRE сочетает современную Kubernetes-инфраструктуру с важной для AI задачей; при этом стоит учитывать темп стартапа, дежурства и четыре дня в офисе.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Site Reliability Engineer (Kubernetes): Building and operating reliable infrastructure for AI agent deployments across AWS, Google Cloud, and Azure with an accent on Kubernetes, Terraform, Helm, and production operations. Focus on designing reusable deployment packages, diagnosing complex cloud and networking issues, and improving monitoring, recovery, and automation across customer environments.
Location: San Francisco, United States; onsite
Company
hirify.global is a fast-growing Series A startup building the Agent Cloud and infrastructure for AI labs and consumer and enterprise agents.
What you will do
Build and maintain versioned Terraform modules, Helm charts, and Kubernetes configurations for EKS, GKE, and AKS deployments.
Own production reliability for customer cluster infrastructure, improving monitoring, alerting, capacity management, recovery, and recurring issue resolution.
Develop reusable infrastructure packages with configuration interfaces, compatibility checks, release processes, and validation for installation, scaling, upgrades, rollbacks, and security patches.
Diagnose Kubernetes, cloud networking, IAM, certificates, storage, and private-connectivity issues across customer environments.
Build automation, deployment validation, drift detection, diagnostics, tests, and runbooks, while contributing code to orchestration services.
Collaborate with customer infrastructure and security teams, FDE, Solutions, and Support on access controls, secrets, isolation, auditability, complex deployments, and escalations; participate in production on-call.
Requirements
5+ years of production SRE, infrastructure, or platform engineering experience operating business-critical services.
Deep experience operating and debugging production Kubernetes clusters, including networking, access control, node lifecycle, scheduling, autoscaling, and storage.
Strong Terraform and Helm skills, including production module and chart development, versioning, testing, and upgrades.
Deep expertise in AWS, GCP, or Azure, with the ability to work across providers and understand cloud networking, IAM, compute, and storage.
Strong Linux and networking fundamentals, including process isolation, filesystems, DNS, TCP/IP, and resource-constraint troubleshooting.
Experience using metrics, logs, and traces to diagnose production issues and test recovery procedures.
Ability to write automation in Go, Python, Bash, or similar and contribute tested changes to existing services.
Ability to explain technical tradeoffs, resolve deployment issues with customer infrastructure teams, and take problems from investigation through production fixes.
Nice to have
Experience building AI agents or applications that use tools, execute code, or run in sandboxes.
BYOC, self-hosted, or managed enterprise software in customer-controlled infrastructure; large-scale Kubernetes fleet operations.
GitOps, Argo CD, Flux, Kubernetes operators, or custom controllers.
Air-gapped or on-premises deployments and stringent enterprise security.
OpenTelemetry, Prometheus, Grafana, Loki, or similar observability tools.
In-person offices in San Francisco and Prague, with 4 days onsite and 1 day working from home.
Healthcare, vision, and dental insurance.
Unlimited paid time off and 401(k).
Additional perks for in-office employees.
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