Senior Software Engineer, Autonomous Freight Systems
Senior · Офис · Сан-Франциско, США · Английский B2
Навыки
API (интеграции)
AWS
Code review
Java
LLM
Ответственность за результат
152-ФЗ / персональные данные
Ещё 4
RAG
Ruby on Rails
React
Spring
О компании и продукте
At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year.
The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us.
The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco, building Flexport's client-facing rates platform and self-serve freight booking experience from the ground up. We own two of the highest-leverage surfaces in the Client App: how clients see pricing and how they book freight without manual intervention.
Задачи
Take end-to-end technical ownership of core systems: from schema design and backend APIs to the React surfaces our customers use and drive them to production without needing oversight
Proactively identify gaps, inefficiencies, and engineering problems within your domain and lead the effort to resolve them
Design and build AI-powered features and integrations, moving beyond "AI familiarity" to hands-on implementation of agent workflows and LLM-backed automation in production
Drive technical design for significant features, producing well-reasoned proposals and aligning teammates before writing the first line of code
Mentor and support P2 engineers through code review, pairing, and design feedback, raising the quality of the team's output
Collaborate closely with product, design, pricing, and operations to translate complex domain problems into elegant, production-ready solutions
Build and ship incrementally: this team deploys to production dozens of times per day, and you are comfortable with that pace
Ensure reliability and quality by building in metrics, monitoring, and applying learnings from incidents to all systems you own
Требования
5+ years of professional software engineering experience with a proven track record of shipping production-grade systems with increasing levels of independence
Deep Ownership Instinct: You hold yourself accountable for outcomes, not just outputs
When something breaks, you fix it—and you make sure it doesn't break again
Full-Stack Fluency: You can own a feature from the database to the browser
You are opinionated about schema design, API contracts, and frontend architecture, not just one layer
AI/LLM Hands-On Experience: You have built software that integrates LLMs into real user workflows—not just proof-of-concepts, but production systems
You understand the practical challenges: latency, reliability, prompt fragility, and cost
Agency and Drive: You identify the next most important problem without being asked. You default to action, propose solutions, and bring others along
Technical Rigor: A genuine passion for simple, well-tested, well-structured code. You push back on complexity and leave systems better than you found them
Communication: You can explain a technical tradeoff clearly to a product manager and to a staff engineer. Your design docs and code reviews are worth reading
Proficiency with deploying, monitoring, and maintaining production services on cloud infrastructure (AWS)
It's a Plus If You Have
Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS
Familiarity with agentic patterns, RAG, or workflow orchestration (e.g., Temporal)
Experience in logistics, supply chain, freight technology, or pricing systems
A bias for action: when you see a problem, you own the fix
LI-onsite
The range displayed on each job posting reflects the minimum and maximum target for new hire base salary for the position in the posting's respective region
Our salary ranges are determined by role, level, and location
Within the range displayed, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and / or training
Commitment to Equal Opportunity
At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce
Условия
Base salary is just one part of our total rewards package at Flexport, which also includes bonus, equity, and comprehensive benefit offerings such as medical, dental, and flexible time off
The US base salary range for this position (this does not include bonus, equity and benefits)
183,000 — $229,000 USD
Паспорт вакансии
История публикации
Появилась в Вакандии30 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 30 дней назад
Среди похожихНет данных165 из 30 · у похожих вакансий почти одинаковый возраст — сравнивать нечего
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдSeniorвычитано из текста вакансии
Формат работыОфисвычитано из текста вакансии
ГеографияСан-Франциско, СШАвычитано из текста вакансии
Зарплата≈ 17 667 USD в месяцнаша оценка, в вакансии не названа
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа0вилки работодателя нет, показана наша оценка
Проверка Вакандии
Источники и свежесть
Тип источника
Карьерный сайт работодателя
Найдено публикаций
1
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greenhouseОсновная публикация · 2026-06-03
F
Работодатель
Flexport
36 активных вакансий · вилка работодателя указана в 8%
Вакандия показывает вакансию, но не отправляет отклик и не проверяет работодателя. Сам отклик вы оставляете на внешнем сайте — job-boards.greenhouse.io.
Признаки мошенничества
Просят предоплату, «залог» или деньги за обучение и оборудование.
Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
Быстро уводят в мессенджер и торопят с решением.
Обещают большой доход без опыта и без деталей задач.
Настоящий работодатель не просит денег и платёжных данных до трудоустройства.
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