2 дня назад
Staff Backend Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Backend Engineer (AI): Building and maintaining Develocity features for a toolchain observability and intelligence platform with an accent on scalable backend architecture, developer productivity, and AI-powered software delivery. Focus on owning ambiguous cross-team initiatives, designing fault-tolerant distributed systems, and governing software changes at machine scale.
Location: Remote from Europe, with working conditions that support seamless collaboration through email, chat, and video conferencing.
Company
builds Develocity, a toolchain observability and intelligence platform for software organizations, with deep observability, build and test acceleration, and AI-powered intelligence.
What you will do
- Design, implement, test, deliver, and maintain Develocity features.
- Own ambiguous initiatives from discovery through production and validated customer impact.
- Identify scope and delivery risks early and drive mitigation across initiatives.
- Write discoveries and specifications that align input from multiple teams into coherent plans.
- Set engineering standards through code, reviews, AI usage, and dogfooding.
- Work directly with customers on product discoveries and rollouts, and participate in Develocity releases.
Requirements
- Experienced Staff Software Engineer with a record of leading complex features end-to-end and across teams.
- In-depth experience with Java or another JVM language; the codebase is primarily Java.
- Effective use of AI to ship quality software at high velocity.
- Strong experience delivering testable, evolvable, and scalable backend architectures to production.
- Proficiency in written and spoken English.
- Self-management, initiative, sound judgment, and excellent organizational skills.
Nice to have
- Experience building systems where AI agents are primary consumers.
- Experience with developer tools and automated software build and delivery processes.
- Experience with AWS, Docker, and Kubernetes.
- Experience designing and scaling fault-tolerant, highly available distributed systems.
Culture & Benefits
- Remote-first work-from-home environment.
- Automation-focused, test-driven engineering culture where frontier AI is used by default.
- Direct interaction with engineers from leading technology organizations.
- Collaboration with experienced peer engineers and opportunities for technical and leadership growth.
- Annual company offsite and team meetings.
- Competitive salary and equity grants.
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