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11 дней назад

Staff Software Engineer, Platform (AI)

180 000 - 240 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Software Engineer, Platform (AI): Building and operating the infrastructure and platform foundations that support Gradial’s AI-native enterprise marketing system with an accent on Kubernetes, reliability, developer experience, security, and cloud-native scalability. Focus on designing production infrastructure, evolving CI/CD and observability foundations, and solving complex reliability, performance, and cost challenges at enterprise scale.

Location: Seattle, WA, USA; the role is associated with a Seattle office.

Salary: $180,000–$240,000 annually, plus equity and a performance-based annual bonus.

Company

hirify.global is building an AI-native system of work for enterprise marketing, using agents to execute campaigns across existing tools, teams, and workflows.

What you will do

  • Set the technical direction for the platform across infrastructure, reliability, developer experience, security, performance, and cost.
  • Own the reliability, scalability, and operational health of the production platform.
  • Lead platform initiatives from problem definition and architecture through hands-on implementation and production deployment.
  • Evolve Kubernetes, CI/CD, observability, infrastructure-as-code, and deployment foundations as the organization scales.
  • Build tooling, abstractions, and automation that improve engineering productivity and operational ownership.
  • Provide technical leadership through architecture, design reviews, mentorship, and cross-functional collaboration.

Requirements

  • 8+ years of professional software engineering experience, including significant platform engineering, infrastructure, SRE, DevOps, or related experience.
  • Deep expertise in Kubernetes, cloud-native architecture, container orchestration, and production infrastructure.
  • Strong experience with infrastructure as code, GitOps, CI/CD workflows, and modern deployment practices.
  • Strong command of observability and reliability fundamentals, including metrics, logging, tracing, alerting, and incident response.
  • Ability to lead complex platform initiatives while remaining hands-on, making pragmatic architectural decisions, and driving execution through influence.

Nice to have

  • Experience with AI or ML infrastructure, GPU provisioning, model deployment, or compute-intensive workloads.
  • Experience supporting cloud or multi-cloud environments with demanding reliability and scaling requirements.
  • Proficiency with TypeScript or Python for internal tooling and operational automation.

Culture & Benefits

  • Medical, dental, and vision coverage, including fully covered employee premiums and 75% dependent coverage.
  • 401(k) plan, unlimited PTO, fertility and family-planning support, meaningful equity, and performance-based bonuses.
  • Seattle office with a gym, sauna, bike parking, and free lunch three days per week.
  • Fast-paced, low-bureaucracy environment emphasizing ownership, learning, customer impact, and practical use of AI.

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