2 дня назад
Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI): Building a context engine for AI-native engineering, including a unified software catalog, scorecards, self-service workflows, and agentic capabilities with an accent on backend-heavy fullstack development, scalable REST APIs, and enterprise-scale data systems. Focus on optimizing PostgreSQL and SQL workloads, monitoring high-performing services, and solving infrastructure challenges across hundreds of thousands of repositories.
Company
provides the resources, scale, and reach behind a startup-like engineering group building a platform for AI-native engineering.
What you will do
- Build and ship features for a scalable software context platform.
- Develop robust REST APIs and contribute to customer-facing React components.
- Map software entities, dependencies, and ownership across large engineering organizations.
- Define scorecards, standards, and guardrails for human engineers and AI agents.
- Build self-service workflows and agentic capabilities that help engineers close gaps against standards.
- Review code and maintain reliability, security, performance, monitoring, and error visibility for backend services.
Requirements
- 3+ years of experience building backend applications, with fullstack capabilities.
- Proficiency in a modern object-oriented programming language such as Java, Kotlin, Go, Scala, or Python.
- Experience with JavaScript or TypeScript and libraries such as React or Node.
- Experience implementing scalable and performant RESTful microservices.
- Fluency with a database technology such as PostgreSQL, another relational database, or NoSQL.
- Familiarity with cloud architecture patterns and hands-on public cloud experience, preferably AWS.
Nice to have
- Bachelor’s or Master’s degree in Computer Science or equivalent experience.
Culture & Benefits
- Small engineering group with broad ownership and high shipping velocity.
- Minimal meetings and limited bureaucracy, with an emphasis on builder time.
- Close collaboration with product and design and rapid iteration based on customer feedback.
- Agile development practices including stand-ups, sprint planning, and retrospectives.
- Startup-level autonomy backed by the resources and scale of a large technology company.
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