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Staff Engineer (AI-Native) (Full time contractor)

Оценка ИИ

Отличное предложение для опытных инженеров: оплата в USD, удаленная работа и фокус на самых современных AI-технологиях. Высокая автономность и меритократия делают вакансию привлекательной для топовых специалистов.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль Staff Engineer требует не только 10+ лет опыта и глубоких знаний Full-stack (Java, Go, TS), но и активного использования AI-инструментов в разработке. Высокая планка ожиданий по лидерству и архитектурному видению делает эту позицию крайне сложной.

Анализ зарплаты

Медиана160 000 $
Рынок130 000 $ – 200 000 $
Оценка ИИ

Вакансия предлагает конкурентоспособную оплату в долларах США, что для региона LATAM (Бразилия) значительно выше среднего уровня по рынку. Указанный диапазон соответствует глобальным стандартам для позиций уровня Staff в технологических компаниях США.

Сопроводительное письмо

I am writing to express my strong interest in the Staff Engineer (AI-Native) position at Nerdy. With over 10 years of experience building high-scale distributed systems and a deep-seated passion for AI-driven development, I am excited by Nerdy’s mission to redraw the blueprint of learning through your Live + AI™ platform. My background in full-stack engineering across TypeScript, Java, and Golang, combined with extensive experience in AWS cloud architecture, aligns perfectly with the technical leadership requirements of this role.

Throughout my career, I have consistently championed the use of AI-native tools like Cursor and Claude to accelerate development cycles and improve code quality. I have a proven track record of mentoring senior engineers and driving architectural decisions that balance performance with maintainable design. I am particularly drawn to Nerdy’s entrepreneurial velocity and meritocratic culture, as I thrive in environments where ownership and impact are the primary drivers of success. I look forward to the possibility of contributing to your engineering strategy and helping scale your learning platform for a global audience.

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Присоединяйтесь к Nerdy и создавайте будущее образования с помощью передовых AI-технологий!

Описание вакансии

Overview:

We are looking for a Staff Engineer in LATAM to join the engineering team! In this role, you will set technical direction across both front-end and back-end systems, helping shape the architecture, performance, reliability, and user experience of our learning platform. You will provide hands-on technical leadership across squads, partner closely with Product and Design, and drive the development of scalable, secure-by-default, AI-powered customer experiences.

This is a high-impact role for an engineer who can move fluidly across the stack, from high-traffic user interfaces to high-scale services, while mentoring engineers and raising the technical bar across the organization.

About Nerdy:

At Nerdy (NYSE: NRDY) -  the company behind Varsity Tutors - we’re redrawing the blueprint of learning. Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems, setting a new bar for measurable academic impact at global scale.

We recruit the kind of technologists and operators you’d bet on as solo founders - people who turn ambiguous problems into shipping code, iterate faster than markets move, and compound their advantage with every data point. In an era where great employees can deliver 10-times the leverage of the merely good, we back those who play to win.

Fortune favors the bold. Join us.

How we compete:

  • AI-Native at every levelFrom the CEO to day-one hires, everyone builds and ships with generative AI. If you’re not wielding AI, you’re not done.
  • Entrepreneurial velocityMove at founder speed, prototype in hours, and measure in real user outcomes. Slow teams die.
  • Free-market rigor Ideas rise or fall on merit and results - no committees, no politics, no cap on upside.
  • Full-stack ownership You design, build, and run what you ship; accountability is a feature, not a bug.
  • Reward for contributionPay rises with impact, not years. Outstanding results earn outsized rewards. We evaluate both *what you achieve and how*you achieve it: living our leadership principles and using AI effectively are formally measured and rewarded.
  • Relentless explorationPush the frontier of generative AI in live learning and - because only the paranoid survive - questioning every legacy assumption along the way.
  • Is ApoliticalYou stay focused on mission-aligned outcomes, not distractions or unrelated causes.

If you’re a technically minded builder who thrives on open competition, personal responsibility, and the chance to redefine how the world learns - while continually stretching the limits of what generative AI can do - come do the most ambitious and rewarding work of your career here. Learn more atnerdy.com.

Nerdy’s shareholder letters below explain our latest products and strategy:

Responsibilities

  • Technical Leadership: Serve as the technical point of reference for the squad and broader engineering team, ensuring best practices in architecture, performance optimization, and accessibility standards are upheld.
  • Solution Design: Lead the design and architectural discussions for systems, making pivotal decisions on frameworks, state management patterns, component architecture, and design systems.
  • Code Quality: Advocate for and ensure the delivery of high-quality, maintainable, and scalable code. Conduct regular code reviews and provide mentorship to team members.
  • Collaboration: Work closely with product managers, designers, and other stakeholders to understand requirements, provide technical insights, and ensure the timely delivery of features.
  • Strategy and Vision: Contribute to the engineering department's strategy and vision, bringing innovative ideas to improve our customer-facing experiences.
  • Problem Solving: Address complex technical challenges, innovate solutions, and optimize existing systems for scalability and performance.
  • Team Development: Mentor and develop team members, helping them to grow in their technical roles and careers.
  • AI Enablement: Leverage AI-native tools and approaches to improve development speed, product capabilities, and engineering effectiveness across the software lifecycle.

Qualifications:

  • Minimum of 10 years of software engineering experience, with a proven track record of building and evolving complex, high-scale systems and customer-facing applications.
  • Strong full-stack expertise, including domain in:

           Frontend: JavaScript, TypeScript

           Backend: Javascript, Java, Golang

  • Explicit mentoring of senior-level engineers regularly, leading to results.
  • Significant experience in AWS-based cloud architecture environments.
  • In-depth knowledge of modern software engineering practices, design patterns, and architectures.
  • Experienced with AI-native tools that enhance productivity and speed (Cursor, Make.com, Supabase, Netlify, Claude Code, n8n, Firecrawl, ChatGPT, Grok, Bolt, Vercel, etc).
  • Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
  • Experience designing high-traffic web applications and scalable distributed services.
  • Demonstrated experience in collaborating with multidisciplinary teams.
  • Excellent problem-solving and analytical skills.
  • A strong owner willing to roll up their sleeves. This role includes coding and reviewing the code of others.
  • Ability to implement customer-facing solutions that solve the customers' true needs with exceptional user experiences.
  • Nerdy is an apolitical company focused solely on helping people learn, and we achieve the most when united in this mission.

Unleash Your Potential at Nerdy:

At Nerdy, you'll earn your success through meritocracy and exceptional outcomes. Our benefits reward performance and initiative:

  • Competitive USD Compensation: Enjoy a market-leading rate paid in U.S. dollars.
  • 100% Remote (Home Country Only): Work from anywhere in your home country—no relocation required, no borders crossed.
  • Flexible Time Off: Our flexible PTO lets you recharge on your own terms and when you need it the most.
  • Local Holiday Pay: We honor your nation’s official holidays with paid time off—celebrate what matters to you.
  • Continuous Learning: Get a free, all-inclusive learning membership for you and your household—including 1-on-1 tutoring hours, unlimited on-demand classes, and access to our full suite of learning products and services.
  • Supercharge with AI: Gain exclusive access to cutting-edge AI tools that boost your productivity, making you feel almost super-human (cape not included).
  • Feedback-Rich, Collaborative Culture: Tap into regular training, peer reviews, and a team that treats every team member as a vital collaborator and owner in our success.
  • Make a Global Impact: Your expertise fuels an innovative platform used by learners around the world—be part of something transformative.

The Bottom Line:

If you're driven by impact, energized by ownership, and excited to help shape what’s next, you’ll thrive here. We move fast, think big, and reward those who deliver. This isn’t a traditional corporate environment - it’s a place to do the most meaningful work of your career.

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Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • JavaScript
  • TypeScript
  • Java
  • Golang
  • AWS
  • Generative AI
  • Cursor
  • Supabase
  • Vercel
  • Node.js
  • Distributed Systems
  • Software Architecture

Возможные вопросы на собеседовании

Проверка опыта проектирования систем с высокой нагрузкой.

Расскажите о самом сложном архитектурном решении, которое вы принимали для высоконагруженной системы. Какие компромиссы пришлось учитывать?

Оценка навыков наставничества, критически важных для уровня Staff.

Опишите случай, когда вы менторили Senior-инженера. Как вы помогли ему вырасти и как измеряли результат?

Проверка соответствия культуре AI-Native.

Как именно вы интегрируете AI-инструменты (например, Cursor, Claude Code) в свой ежедневный рабочий процесс для повышения производительности?

Оценка умения работать с облачной инфраструктурой.

Какие стратегии оптимизации затрат и производительности вы применяли в архитектурах на базе AWS?

Проверка навыков взаимодействия с бизнесом.

Как вы подходите к разрешению конфликтов между техническим совершенством кода и необходимостью быстрого вывода продукта на рынок (Time-to-Market)?

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