4 дня назад
Senior/Lead Backend Engineer (Kotlin)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior/Lead Backend Engineer (Kotlin): Building and scaling AI-powered operational software for frontline workforce scheduling, credential tracking, coverage, and timekeeping with an accent on backend systems, infrastructure, and enterprise-grade reliability. Focus on delivering features end-to-end, designing asynchronous event-based systems, leading architecture tradeoffs, and extending production systems with AI coding tools.
Location: San Francisco, California, with hybrid work for Bay Area employees; fully remote work is available only within the United States. Local employees work from the SoMa office three days per week.
Company
builds AI-powered workforce operations software for frontline teams in professional sports, healthcare, security, and logistics.
What you will do
- Deliver features independently across backend, infrastructure, and the frontend skeleton.
- Work with product, design, sales, founders, and customer-facing colleagues to define and ship solutions.
- Lead tradeoff discussions and clarify ambiguous requirements with technical and non-technical stakeholders.
- Write extensible, scalable, production-quality code and participate in code reviews.
- Lead or contribute to architecture reviews and technical design discussions.
- Improve engineering practices, share knowledge, and provide feedback on product, process, and culture.
Requirements
- 5+ years of backend development experience with Java, Go, Python, Node, or similar technologies.
- Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
- Ability to work as a generalist, independently scope work, resolve ambiguity, and adapt to changing requirements.
- Experience collaborating directly with technical and non-technical stakeholders and explaining technical tradeoffs clearly.
- Experience with Kotlin or other JVM languages, asynchronous event-based systems, and production-grade code developed with AI coding tools.
Culture & Benefits
- Fast-moving engineering environment with significant ownership and ambiguity.
- Direct collaboration with founders, product, and customer-facing teams.
- Emphasis on pragmatic iteration, strong but flexible technical opinions, and high engineering standards.
- Heavy use of AI coding tools across the stack.
- Technology includes Kotlin, Micronaut, PostgreSQL, Redis, AWS, ECS, React, and TypeScript.
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