Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$175к-350к/год
$180к$200кмедиана$230к
По похожим ролям (50) ~ $200к/год
На СНГ рынке: $4к/мес ($3к - $5к)
90
Крутая вакансия
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Чётко очерченная инфраструктурная роль в быстрорастущем AI-стартапе даёт опыт с распределёнными системами и Kubernetes в нескольких облаках, но стоит учитывать четыре офисных дня в неделю и дежурства по продакшену.
Дежурства в продакшене
Современный стек
AI-инфраструктура
Понятная зона ответственности
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Backend Software Engineer - Enterprise (Go): Building and operating Go services and distributed workflows for an enterprise orchestration platform managing Kubernetes deployments across AWS, Google Cloud, and Azure with an accent on reliability, fleet visibility, and deployment automation. Focus on reconciling state through partial failures, designing backward-compatible APIs, and operating production services across remote clusters.
Location: San Francisco, United States; hybrid schedule with 4 days on-site and 1 day working from home.
Compensation: $175K–$350K plus equity.
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 operate Go services for cluster installation, configuration, scaling, upgrades, recovery, and decommissioning.
Develop distributed workflows that handle partial failures, retries, concurrent changes, and state reconciliation across remote Kubernetes clusters.
Build fleet tools for cluster inventory, health, configuration drift, rollout progress, audit history, and failure diagnosis.
Integrate Kubernetes APIs, Helm, and infrastructure packages into deployment workflows across AWS, Google Cloud, and Azure.
Design APIs and data models for deployment state, configuration, and access validation; add observability, integration tests, and recovery validation.
Own production reliability, participate in on-call, collaborate with SRE, FDE, Solutions, and Support, and reduce manual operations through automation.
Requirements
5+ years building and operating production backend systems, ideally infrastructure control planes, deployment automation, or asynchronous services.
Strong Go skills, including concurrency, memory management, and profiling.
Strong distributed-systems fundamentals: durable workflows, state machines, consistency, idempotency, and failure recovery.
Experience designing REST or gRPC APIs, including resource models, authentication, error handling, documentation, and backward-compatible changes.
Experience with PostgreSQL or another relational database, including schema design, indexes, transactions, and migrations.
Experience testing and debugging long-running operations across unreliable networks and remote systems.
Hands-on Kubernetes and Helm experience, including cluster APIs and releases; ability to debug Go services, cloud IAM, networks, and containers.
Ability to write maintainable, well-tested code, review AI-assisted changes, and take an ambiguous backend project from design through production.
Nice to have
Experience building AI agents or applications using tools, code execution, or sandboxes.
Experience with control planes, Kubernetes operators, infrastructure APIs, BYOC, private-cloud, or self-hosted software.
Experience building multi-cloud, multi-region, or multi-tenant systems.
Experience with Terraform, GitOps, Argo CD, cloud-provider APIs, event-driven systems, message queues, or workflow engines.
Experience with infrastructure, developer-tools, or AI-agent platform products; TypeScript or Python alongside Go.
Open-source backend, Kubernetes, or distributed-systems contributions.
Culture & Benefits
In-person work is required 4 days per week in the San Francisco office, with 1 day working from home.
Offices are located in San Francisco and Prague, Czech Republic.
Healthcare, vision, and dental insurance.
Unlimited PTO, 401(k), and additional in-office employee perks.
Collaboration with SRE, FDE, Solutions, and Support teams on enterprise deployments.
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