Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$185к-265к/год
$180к$200кмедиана$250к
По похожим ролям (50) ~ $200к/год
На СНГ рынке: $4.3к/мес ($3.2к - $5.3к)
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Крутая вакансия
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Чётко описанная роль principal-уровня в крупной платформе кибербезопасности сочетает задачи распределённых систем глобального масштаба, оркестрацию и AI-инструменты; требования к 12+ годам опыта и hyperscale-системам задают очень высокий порог.
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Очень высокий порогСовременный стекКибербезопасностьПонятная зона ответственности
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Software Development Engineer (Go) (Service Platform & Orchestration): Building a stateful, durable management plane on Temporal for deterministic provisioning and lifecycle operations across a global fleet of 100k+ instances with an accent on distributed systems, reliability, and AI-driven operations. Focus on designing replay-safe workflows, self-healing fleet services, platform APIs, and explainable telemetry for concurrency, failure handling, and large-scale performance.
Location: Santa Clara, California, USA; hybrid, with 3 days in the office
Salary: $185,000–$265,000 USD base pay annually; excludes commission, bonus, equity, and benefits.
Company
hirify.global provides the Zero Trust Exchange, a cloud security platform that protects customers from cyberattacks and data loss.
What you will do
Lead the development and migration to a Temporal workflow-as-code platform with replay-safe and idempotent workflows for deterministic operations at global scale.
Transform scripted automation into a durable management plane that treats the global fleet as an eventually consistent distributed system.
Design services using LLMs and ML for intelligent signal correlation, automated triage, and self-correcting fleet operations.
Develop framework-level services and REST/gRPC internal APIs with reliability hooks, idempotency, verification, and safe rollout patterns.
Build deep metrics, traces, and event telemetry so fleet-wide actions are explainable, auditable, and replayable.
Requirements
Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions within the relevant functional domain.
BS/MS in Computer Science or a related technical field and 12+ years of experience in hyperscale systems.
Deep understanding of failure modes and technical challenges that emerge at massive scale.
Mastery of backend systems languages, with a strong preference for Go; deep expertise in Java, C++, or Python is acceptable with demonstrated ability to rapidly adopt Go.
Proven record of setting high standards for code quality and distributed-system correctness.
Strong experience designing and operating complex distributed systems, including concurrency, failure handling, and performance optimization.
Proven experience developing Platform APIs using REST or gRPC with idempotency, verification, and safe rollout guarantees.
Nice to have
Proficiency with AI code-assistance tools such as Cursor or Windsurf.
Proficiency in PostgreSQL or other relational stores used for high-scale, stateful management-plane services.
Direct experience building or operating systems with Temporal.io, Cadence, or similar workflow engines.
Culture & Benefits
Ownership, collaboration, trust through outcomes, and a challenge culture with ongoing feedback.
Hybrid working model with in-office collaboration.
Health plans, vacation and sick time, parental leave, retirement options, education reimbursement, and in-office perks.
Inclusive workplace focused on belonging, respect, and equal opportunity.
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