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alvys
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SeniorУдалённоПолная занятость

Senior Product Engineer

Оценка ИИ

Отличная вакансия для опытных инженеров, которые ищут автономии и хотят влиять на продукт. Современный стек, удаленная работа и фокус на передовые AI-технологии делают роль очень привлекательной на рынке Латинской Америки.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованием 'Extreme Ownership', где инженер отвечает за продукт целиком — от идеи до эксплуатации. Требуется не только сильный технический стек (.NET/React/Azure), но и умение работать с AI-инструментами и глубокое понимание бизнес-метрик.

Анализ зарплаты

Медиана75 000 $
Рынок60 000 $ – 95 000 $
Оценка ИИ

Предлагаемая роль Senior уровня в американском стартапе с удаленной работой из Колумбии обычно предполагает зарплату выше среднего по местному рынку, ориентируясь на международные стандарты для Senior Fullstack разработчиков.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Product Engineer position at Alvys. With over 5 years of experience in full-stack development and a proven track record of owning production systems end-to-end, I am excited by your mission to build an AI-first operating model for the freight industry. My background in .NET, React, and cloud infrastructure aligns perfectly with your tech stack, and I share your philosophy that engineers should be accountable for business outcomes rather than just closing tickets.

In my previous roles, I have consistently focused on reducing architectural complexity and improving system reliability through better observability. I am particularly impressed by Alvys's commitment to integrating AI as a first-class citizen in the development workflow. I have already begun incorporating AI tooling into my own process to accelerate delivery without compromising quality, and I am eager to bring this experience to your team to help scale your modern TMS platform for larger fleets.

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Составьте идеальное письмо к вакансии с ИИ-агентом

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Откликнитесь в alvys уже сейчас

Присоединяйтесь к Alvys, чтобы создавать будущее логистики с помощью AI и брать на себя полную ответственность за продукт!

Описание вакансии

About the Role

Alvys is building the operating system for modern freight with a multi-tenant SaaS platform that streamlines day-to-day transportation operations. As a Senior Product Engineer, you will be a senior individual contributor who owns meaningful product areas end-to-end: shaping what we build, how we build it, and whether it worked for customers.

This role is designed for engineers who want to sit at the intersection of engineering execution, product judgment, and operational ownership, and who are excited to build with AI as a first-class part of the workflow.

We are moving quickly toward an AI-first operating model across the company. On the engineering side, we have shifted from a traditional model with many handoffs (PRDs → designs → engineering → QA) to a product engineering model where engineers are accountable for outcomes and leverage AI to accelerate delivery.

AI is a core part of how we build

We are building Alvys with AI as a first-class part of the workflow. As a Senior Product Engineer, you will use AI to move faster while keeping quality high, and you will still be accountable for outcomes.

You will be expected to be fluent in modern AI tooling and patterns, including:

  • Using AI tools to accelerate implementation, debugging, and test generation.
  • Reviewing and hardening AI-generated code with strong engineering judgment.
  • Iterating quickly with customer feedback and production signal.
  • Contributing to evolving team practices as the AI toolchain changes.

In this role, “senior” is measured by impact. That means owning customer and business outcomes, influencing product direction through strong problem framing and tradeoffs, and shipping and operating production systems with a reliability mindset.

Industry Insight

Transportation logistics is massive, fragmented, and still underserved by modern software. The work is complex, the stakes are high, and the opportunity is huge: improving how freight moves impacts costs, service levels, and reliability across the economy.

Alvys is positioned at the center of this shift. We are a modern, cloud-native Transportation Management System (TMS) serving carriers and brokers, with growing adoption among larger fleets. As customers move upmarket, the required workflow sophistication increases dramatically—planning, execution, tracking, compliance, billing, and settlement all need to work together reliably.

At the same time, the industry is entering an AI-driven transition. The next wave of logistics software will not just record what happened; it will help operators make better decisions in real time by reducing manual work, surfacing the right information, and automating repetitive operational tasks. Our strategy is to build AI into the product where it creates leverage for dispatchers, fleet managers, and operations teams—so customers can run faster, with more clarity, and with fewer surprises.

About Alvys

Alvys is on a mission to revolutionize transportation logistics. We are evolving from a delivery organization into a product engineering organization—one that blends technical excellence with deep product context and financial accountability.

We measure success by impact, not output. We balance innovation with sustainability—every feature we build comes with a maintenance cost we own. We think like operators, not just builders—reliability and performance are features, not afterthoughts.

Engineering Principles

  1. Build for Real-World Impact — Our users rely on Alvys to solve real problems, not abstract ones.
  2. Extreme Ownership and Empowerment — If it’s in production, it’s yours—quality, uptime, and results.
  3. Technology Debt is Strategic, Not Accidental — We incur debt deliberately, and pay it down deliberately.
  4. Simplicity Scales; Complexity Costs — We reduce complexity to lower cognitive load and speed up delivery.
  5. Radical Transparency — We share context and data to drive alignment and decision-making.

Engineering Culture:

  • Move Fast, Learn Fast — Speed is an advantage when paired with good judgment.
  • Own the Outcome — We own outcomes end-to-end, not tickets.
  • Engineering-Led, Customer-Driven — We lead with technical strategy, grounded in customer reality.
  • Pragmatism Over Purism — Maintainability and business impact beat theoretical perfection.
  • People Over Heroics — Sustainability matters; we don’t reward burnout.

Tech Stack

  • Backend: .NET/C#, CosmosDB, Postgres, Elastic Search, Azure services
  • Frontend: TypeScript, React, Angular
  • Infrastructure & Ops: Azure, Azure Monitor, Application Insights, CI/CD through DevOps / GitHub Actions
  • Integrations: Multiple third-party APIs and workflow systems

Responsibilities

  • Product ownership (outcome-driven): Own a product area end-to-end, including problem framing, implementation, rollout, and iteration.
  • Technical leadership: Lead multi-person projects, write and review design docs, and make sound architectural decisions.
  • Operational excellence: Build systems that are observable and reliable, participate in incident response, and drive post-incident improvements.
  • Cross-functional collaboration: Partner closely with Product, Design, and operational stakeholders to ship high-leverage workflow improvements.
  • Mentorship: Mentor engineers through code reviews, pairing, and setting high standards for quality and product thinking.
  • Complexity reduction: Identify opportunities to simplify architecture, workflows, and UX to improve both customer experience and developer velocity.

Minimum Qualifications

  • 5+ years of professional software engineering experience, with ownership of production systems.
  • Strong proficiency in at least one modern programming language (C#, TypeScript, Java/Kotlin, etc.).
  • Full-stack capability: you can contribute across backend services and web UI when needed, and you are comfortable working end-to-end (API → data → UI).
  • Experience building and operating production software, including debugging, monitoring/alerting, and performance tuning.
  • Experience with data stores in production (relational and/or NoSQL).
  • Experience with at least one major cloud provider (Azure, AWS, or GCP).
  • Strong collaboration and communication skills with cross-functional partners (Product, Design, and operations stakeholders).

Note: We care more about demonstrated ability to ship and own outcomes than a specific degree or background.

Preferred Qualifications

  • AI-first product engineering experience: you have actively used AI to ship product faster (not just experimentation), and you have refined your personal/team workflow over time.
  • Championing AI adoption: experience introducing AI tooling to a team, setting lightweight standards (prompt/playbook patterns, review practices, safety/quality checks), and helping others level up.
  • Strong React proficiency: experience building complex, data-heavy UIs in React and TypeScript, including performance, state management, and maintainable component architecture.
  • Design systems experience: experience building, evolving, or operating within a design system (component libraries, tokens, accessibility, consistency), and partnering effectively with Design.
  • Experience building and operating large-scale systems, with a focus on reliability, performance, and cost.
  • Experience with observability and operational rigor (dashboards, alerting, incident response, performance tuning).
  • Experience with .NET/C#, CosmosDB, Postgres, Elastic Search, and modern web APIs.
  • Experience mentoring engineers and raising engineering quality through design reviews, code reviews, and strong technical standards.
  • Experience in logistics or transportation software is a plus.

Equal Employment Opportunity

Alvys is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws.

We are dedicated to growing a diverse team of highly talented people. We’re dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive—believing in and bringing out the best of everyone.

If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.

For information about Alvys's privacy practices, see ourPrivacy Policy.

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Навыки

  • Angular
  • TypeScript
  • Azure
  • C++
  • GitHub Actions
  • PostgreSQL
  • React
  • REST API
  • ElasticSearch
  • .NET
  • CosmosDB

Возможные вопросы на собеседовании

Проверка соответствия философии 'Product Engineering' и умения мыслить категориями бизнеса, а не только кода.

Расскажите о случае, когда вам пришлось принимать сложное продуктовое решение, основываясь на технических ограничениях. Как это повлияло на конечного пользователя?

Вакансия делает упор на AI-first подход. Важно понять, как кандидат использует эти инструменты на практике.

Как именно вы используете AI в своем ежедневном рабочем процессе для ускорения разработки и обеспечения качества кода? Приведите примеры.

Стек включает CosmosDB и Postgres; важно понимание работы с данными в высоконагруженных системах.

В каких ситуациях вы бы предпочли CosmosDB вместо традиционной реляционной базы данных типа Postgres для логистической платформы?

Роль подразумевает владение всем циклом жизни фичи.

Опишите ваш подход к обеспечению наблюдаемости (observability) новой функциональности после её деплоя в продакшн. Какие метрики для вас приоритетны?

Проверка навыков менторства и лидерства.

Как вы подходите к проведению код-ревью, чтобы не только поддерживать качество, но и обучать менее опытных коллег принципам 'Product Engineering'?

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alvys
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Колумбия