1 день назад
Staff Software Engineer, Platform (AI)
180 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer, Platform (AI): Building and operating the infrastructure, reliability, and developer platform that supports Gradial’s AI-native enterprise marketing system with an accent on Kubernetes, cloud-native architecture, observability, security, and scalability. Focus on leading platform architecture, implementing infrastructure automation, improving incident response, and solving reliability and performance challenges at enterprise scale.
Location: Seattle, WA, United States
Salary: $180,000–$240,000 annually, plus performance-based bonus and equity.
Company
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, and infrastructure-as-code foundations as the product and engineering organization scales.
- Build tooling, abstractions, and automation that improve development, deployment, and production operations.
- Provide technical leadership through architecture, design reviews, mentorship, incident response, and cross-functional collaboration.
Requirements
- 8+ years of professional software engineering experience, including substantial platform engineering, infrastructure, SRE, or DevOps 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 metrics, logging, tracing, alerting, observability, reliability, and incident response.
- Ability to lead complex platform initiatives while remaining hands-on and influencing engineers without formal authority.
- Role location: Seattle, WA, United States.
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
- Performance-based annual bonus and meaningful equity awards.
- Medical, dental, and vision coverage, including fully covered employee premiums and 75% dependent coverage.
- Fertility and family-planning support and a 401k plan.
- Unlimited PTO and flexible work hours.
- Seattle office with a gym, sauna, bike parking, and free lunch three days per week.
- Fast-paced, low-bureaucracy environment focused on ownership, learning, AI literacy, and customer impact.
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