3 дня назад
Staff Engineer, Cloud (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer, Cloud (AI): Setting technical direction across multiple cloud domains and teams while building and operating production systems in Go and JavaScript with an accent on architecture, reliability, security, and observability. Focus on leading cross-team initiatives, resolving architectural trade-offs, strengthening systemic fixes, and mentoring senior engineers across a growing AI cloud platform.
Location: Hybrid in Helsinki or London
Company
is building a full-stack AI cloud spanning data centers, hardware, and a cloud platform for AI teams.
What you will do
- Set technical direction across multiple Cloud domains and teams.
- Lead high-impact, cross-team technical initiatives from definition through delivery.
- Align architecture, sequencing, dependencies, and trade-offs with Leads, Product, Engineering Managers, and the Principal Engineer.
- Establish engineering standards for correctness, testing, security, observability, performance, and data integrity.
- Review designs and code, resolve cross-domain technical disagreements, and document decisions.
- Turn recurring incidents and cross-domain friction into durable systemic fixes while mentoring senior engineers and Leads.
Requirements
- Hands-on experience building and operating production systems in both Go and JavaScript, or equivalent experience.
- Experience setting technical direction across multiple systems or teams.
- Strong software-engineering fundamentals covering architecture, APIs, data, reliability, security, and operability.
- Evidence of building or substantially reshaping systems rather than only maintaining or migrating them.
- Ability to resolve technical disagreements, explain trade-offs, debug and review production systems, and work with a high degree of autonomy.
- Clear communication with technical and non-technical stakeholders and proven mentoring experience.
Nice to have
- Experience with cloud platforms, distributed systems, public APIs, billing or payments, identity and access management, or developer-facing products.
- Experience with event-driven systems, PostgreSQL, Kubernetes, or production workflow systems.
- Previous Staff Engineer or equivalent organization-wide technical experience.
- Experience scaling an early implementation into a dependable product.
Culture & Benefits
- Full-time, permanent employment.
- Profitable operations with rapid, sustained growth.
- Work alongside engineers, researchers, and partners across the global AI ecosystem.
- Collaborate with colleagues representing more than 40 nationalities.
Hiring process
- Submit the application through 's Careers page; applications sent by email are not accepted.
- Hiring proceeds without an artificial deadline and moves forward when the right candidate is identified.
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