Software Engineer (Fullstack, AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Boston or New England-based candidates; hybrid remote with 2–3 days per month at the Boston office, with more on-site time expected during ramp-up. Remote work is limited to Massachusetts.
Salary: $165,000–$260,500 annually. For specific work locations in San Jose, the San Francisco Bay Area, and the New York City metropolitan area: $205,000–$307,000 annually.
Company
is a global communications company, and its subsidiary Snappi is building an intelligent content delivery network that optimizes ecommerce web performance based on time-to-pixel.
What you will do
- Design, develop, and deploy cloud and edge network infrastructure across AWS and GCP, including Go and Caddy modules running on GCE.
- Own the deployment path, including CI/CD, infrastructure as code, and observability.
- Contribute to ML pipelines that optimize routing, caching, and content delivery decisions.
- Work with real-user and synthetic performance data in collection and analytics pipelines.
- Build self-healing systems that detect, diagnose, and resolve production issues automatically.
- Help invent autonomous agent architecture that can operate unattended and hand work back to people or other agents.
Requirements
- Must be based in Boston or New England, with remote work from Massachusetts and regular attendance at the Boston office.
- 5+ years of software development or engineering experience.
- Bachelor's degree or higher in Computer Science, or equivalent experience.
- Experience designing and operating backend services in production, including failure modes and deployment considerations.
- Strong problem-solving, communication, collaboration, ownership, and continuous-learning skills.
- Technical foundations in one or more of Python, Go, Rust, Java, or C/C++, plus data structures, algorithms, networking, and web technologies.
Nice to have
- Experience with web performance metrics such as LCP and CLS.
- Familiarity with edge/CDN internals, ML for real-world decision-making, or data pipelines.
- Experience with HTML, CSS, JavaScript, or React.
- Interdisciplinary academic or professional background.
Culture & Benefits
- Small, lean team operating with startup agility and the resources of an established global company.
- Direct exposure to production impact, with ideas reaching production quickly and measured against customer outcomes.
- Collaborative technical discussions focused on reasoning, transparency, and integrating feedback.
- Medical, financial, and other benefits, including potential cash or stock incentives.
- Equal-opportunity workplace with accommodation support for candidates with disabilities.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →