обновлено 5 дней назад
Senior Backend Engineer (AI)
150 000 - 172 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Backend Engineer (AI): Driving the technical direction of critical backend systems and leading the delivery of high-impact, platform-level initiatives with an accent on architecture and evolution of core backend services. Focus on ensuring the platform remains fast, reliable, and scalable while growing the global user base, and leveraging AI across the full software development lifecycle.
Location: Hybrid in Santa Clara, California, United States
Base salary: $150,000–$172,000 annually, plus a target 10% annual bonus, equity, and cash and non-cash benefits.
Company
provides a developer skills platform that helps companies assess, hire, and upskill engineers based on technical skills.
What you will do
- Architect, design, and lead implementation of complex backend systems and services supporting core product experiences at scale.
- Define technical strategy, system design decisions, technology choices, and long-term architectural direction.
- Own reliability and performance for critical services through SLOs, monitoring, incident response, and operational best practices.
- Design scalable API frameworks and data models for product teams and external integrations.
- Lead cross-functional initiatives with frontend, infrastructure, product, and design stakeholders.
- Drive large-scale refactoring, improve engineering standards, and mentor engineers through design and code reviews.
Requirements
- 3–6 years of experience building and operating production backend systems at scale.
- Expertise in at least one modern backend language, such as Python, Ruby, Go, Java, or Node.js.
- Experience designing distributed systems, including service decomposition, data consistency, fault tolerance, and observability.
- Strong experience with relational and NoSQL databases, schema design, query optimization, caching, asynchronous messaging, and event-driven architectures.
- Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code.
- Deep practical proficiency with AI development tools, LLMs, agentic AI systems, AI/ML fundamentals, and AI integration considerations including cost, latency, reliability, and security.
Nice to have
- Experience operating systems serving millions of concurrent users with strict latency and availability requirements.
- Expertise in microservices, CQRS, event sourcing, or domain-driven design.
- Experience with AWS, GCP, or Azure, including serverless architectures, managed services, and cost optimization.
- Experience building platform APIs, SDKs, or developer tools.
- Experience improving engineering culture through RFCs, architecture reviews, or technical writing.
Culture & Benefits
- High standards, attention to detail, urgency, and focus on customer impact.
- Collaborative, ego-free technical leadership and knowledge sharing.
- Comprehensive cash and non-cash benefits package.
- Target annual performance bonus and equity through stock options.
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