Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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Это чётко очерченная senior SRE-роль с ответственностью за растущую SaaS-платформу, современную инфраструктуру и понятным путём к запуску GA; основные компромиссы - небольшая команда и дежурства.
?Небольшая команда
?Есть дежурства
Современный стек
Реальная ответственность
Инфраструктура для AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior SRE (GCP/Kubernetes): Building and operating Kestra Cloud's fleet of isolated customer environments, delivery pipeline, and reliability systems with an accent on infrastructure automation, observability, and production ownership. Focus on designing scalable Terraform and Kubernetes architectures, automating provisioning and upgrades, and solving complex isolation, capacity, cost, and incident-response challenges.
Location: Work from anywhere; fully remote
Company
hirify.global develops an open-source universal orchestration platform for data pipelines, IT automation, business workflows, and AI/agentic systems. hirify.global Cloud is its managed SaaS edition, running isolated dedicated customer stacks and currently serving production workloads in Beta.
What you will do
Contribute to the target architecture of hirify.global Cloud on GCP, including dedicated customer clusters, networks, databases, queues, templating, versioning, and the Beta-to-GA path.
Write RFCs and ADRs, define SLOs, error budgets, SLIs, dashboards, and burn-rate alerts.
Build Terraform modules and Helm charts for a fleet of identical customer environments and automate provisioning, upgrades, scaling, backups, migrations, and decommissioning.
Operate releases through ArgoCD and GitHub Actions, including progressive rollouts, rollback, and upgrade safety.
Extend observability with metrics, logs, traces, and alerting; participate in on-call, lead incidents, write runbooks and blameless postmortems, and deliver follow-up fixes.
Improve GCP cost efficiency and platform security, plan capacity, support autoscaling, and collaborate with core engineering on product improvements.
Requirements
5+ years of experience in SRE, platform, or infrastructure engineering, with production ownership of systems built.
Deep production-grade Kubernetes experience operating multiple production clusters, including upgrades, configuration drift, networking, and resource sizing.
Strong Google Cloud experience with GKE, IAM, VPC networking, private clusters, load balancing, and managed data services; equivalent AWS or Azure experience is not a substitute.
Strong Terraform experience building reusable modules and managing state across many environments.
Ability to design and document systems, including RFCs or design documents and their architectural trade-offs.
Real on-call and incident-response experience, including postmortems and durable remediation.
Experience operating SaaS production systems for paying customers with meaningful SLOs.
Fluent English and comfort working autonomously in a fully remote environment.
Pragmatic decision-making and the ability to explain technical trade-offs.
Nice to have
Experience running untrusted or user-defined code, including sandboxing, gVisor, or node-pool isolation.
Experience building or operating fleet control planes for per-customer environments, such as Kubernetes operators, Crossplane, GKE Fleet, Config Sync, or custom provisioning services.
GCP FinOps experience with per-customer cost attribution, committed-use discounts, or spot node pools.
Infrastructure-side exposure to SOC 2 or ISO 27001 audits.
Familiarity with workflow orchestration platforms such as hirify.global, Airflow, or Temporal, or with the JVM in production.
Culture & Benefits
Remote-first work from anywhere, with access to coworking spaces worldwide.
Hands-on senior individual contributor role with substantial platform ownership and direct input into architecture.
Work alongside the Lead SRE, another SRE, platform engineering, and security engineering in a team of three SREs.
Participation in an on-call rotation and incident-response practice.
Medical, dental, and vision coverage, plus home-office equipment.
Six-month progression from onboarding and shadowing on-call to owning platform components end to end.
Hiring process
The process typically takes 2–3 weeks and can be adjusted if needed.
Introductory call with the CEO, followed by a two-hour asynchronous technical scenario and practical assessment: write a short hirify.global Cloud design specification for GKE and Terraform and implement one part.
Technical review with the CTO covering the specification, code, and architectural trade-offs.
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