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Software Engineer
Проект44 — лидер рынка с современным стеком (Java, GCP, AI). Гибридный график в Чикаго и фокус на инновациях делают вакансию очень привлекательной для инженеров среднего звена.
Сложность вакансии
Роль требует 2-4 года опыта, что соответствует уровню Middle. Основная сложность заключается в необходимости работы с высоконагруженными системами на GCP и интеграции ИИ-инструментов в процесс разработки.
Анализ зарплаты
Зарплата в вакансии не указана, но для Software Engineer с опытом 2-4 года в Чикаго рыночный диапазон составляет $115,000–$155,000. Данная позиция в технологической компании уровня project44 обычно предполагает конкурентную оплату в верхней части этого диапазона плюс опционы.
Сопроводительное письмо
I am writing to express my strong interest in the Software Engineer position at project44. With over three years of experience in developing scalable Java-based microservices and a deep commitment to building robust backend systems, I am excited by the opportunity to contribute to the Movement platform. My background in transforming complex data into actionable insights aligns perfectly with your mission to redefine global supply chain operations through AI-powered visibility.
In my previous roles, I have successfully designed and operated cloud-based systems on GCP, with a focus on RESTful APIs and high-performance databases. I am particularly impressed by project44's integration of AI-assisted development tools like GitHub Copilot and Cursor into the daily workflow, as I am a firm believer in leveraging these technologies to maintain high standards of code quality and speed. I am eager to bring my technical expertise and problem-solving skills to your high-performance team in Chicago and help drive the next generation of supply chain automation.
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Описание вакансии
Why project44?
At project44, we believe in better.
We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world. With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward. Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose. If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk.
Description:
project44 is looking for a Software Engineer - Backend to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how project44 connects to the world’s logistics networks.
Key accountabilities: What you’ll work on
- Design, build, and operate backend systems that power decision intelligence capabilities, using AI and analytics to help customers make informed, timely, and confident supply chain decisions
- Build services and workflows that reduce manual effort and enable action, empowering customers to collaborate more effectively with carriers and partners across the supply chain
- Own and modernize core platform services, such as identity and access management (IAM) and search infrastructure, ensuring they remain secure, scalable, and extensible as new decision intelligence capabilities are introduced
- Transform large-scale logistics data into actionable insights and outcomes, supporting use cases such as recommendations, decision support, and automated actions
- Partner closely with product, data, and design to translate ambiguous customer problems into well-scoped, scalable technical solutions
- Build and operate systems on Google Cloud Platform (GCP), leveraging managed services to deliver reliable and scalable backend solutions
- Take shared ownership of development, testing, deployment, and operations for the systems owned by your team
- Participate in a team on-call rotation, debugging and resolving issues across your team’s services
- Improve observability, monitoring, and operational tooling to ensure system reliability and a strong on-call experience
- Contribute to technical design discussions, code reviews, and documentation, helping set a high bar for quality and maintainability within the team
Qualities
- Strong communication skills, with the ability to clearly explain technical decisions through design docs, discussions, and reviews, and collaborate effectively with both technical and non-technical partners
- A strong analytical approach to problem-solving, with comfort navigating ambiguity and making tradeoffs explicit
- A sense of ownership, curiosity, and resilience - comfortable voicing ideas, incorporating feedback, and iterating toward better solutions
Qualifications
- 2-4 years of professional experience building large-scale, cloud-based systems
- Strong programming and debugging skills with proficiency in Java
Experience in:
- Designing and building scalable Java-based microservices
- Designing and consuming APIs and web services (REST, OpenAPI/Swagger)
- Working with databases, including NoSQL and/or relational databases (e.g., MongoDB, DynamoDB, Postgres, or similar)
- Working in an Agile software development environment
- Using AI-assisted development tools for code generation, refactoring, and debugging (e.g., Cursor, Claude, GitHub Copilot, or similar)
- Integrating AI-assisted workflows into daily development while maintaining high standards for code quality, security, and correctness
Desirable and helpful (but not necessary) are experience in:
- Building event-driven systems and stream-processing pipelines (Kafka, Kinesis, or similar)
- Containerization and orchestration (Docker, Kubernetes)
- Designing or working with agentic AI systems, including multi-step or autonomous LLM-powered workflows
- Familiarity with agentic AI frameworks or patterns (e.g., task planning, tool invocation, stateful agents, workflow orchestration)
- Building platform or framework-level solutions that enable AI-driven automation and decision-making
Work Authorization: Candidates must be authorised to work in the US without current or future employer-sponsored visa support.
In-office Commitment:Our office is where ideas spark, connections thrive, and innovation comes alive. We are looking for candidates who are enthusiastic and committed to joining our team on-site, in our beautiful headquarters Three days a week. Together, we’re building something extraordinary—learn, grow, and thrive in our fast-paced, transformative environment.
Diversity & Inclusion
At project44, we're designing the future of how the world moves and is connected through trade and global supply chains. As we work to deliver a truly world-class product and experience, we are also intentionally building teams that reflect the unique communities we serve. We’re focused on creating a company where all team members can bring their authentic selves to work every day.
We’re building a company that every one of us at project44 is proud to work for, and our journey of becoming a more diverse, equitable and inclusive organization, where all have a sense of belonging, is shaped through the actions of our leadership, global teams, and individual team members. We are resolute in our belief that each team member has an equal responsibility to mold and uphold our culture.
project44 is an equal opportunity employer seeking to enrich our work environment by creating opportunities for individuals of all backgrounds and experiences to thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application!
For any accommodation needed during the hiring process, please email recruiting@project44.com. Even if you don’t meet 100% of the above job description you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.
More about project44
Since 2014, project44 has been transforming the way one of the largest, most important global industries does business. As transportation and logistics continue to evolve and customer expectations around delivery become more demanding, industry technology must rise to the occasion. In just a few short years, we have created a digital infrastructure that eliminates the inefficiencies caused by dated technology and manual processes. Our Advanced Visibility Platform is used by the world’s leading brands to track shipments, collaborate with supply chain partners, drive operational efficiencies, and create outstanding customer experiences.
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Навыки
- Java
- Microservices
- REST
- OpenAPI
- Swagger
- PostgreSQL
- MongoDB
- DynamoDB
- Google Cloud Platform
- Docker
- Kubernetes
- Kafka
- GitHub Copilot
- Claude
Возможные вопросы на собеседовании
Вакансия делает упор на использование ИИ-инструментов (Cursor, Copilot). Важно понять, как кандидат обеспечивает качество кода при их использовании.
Как вы используете ИИ-ассистентов в своей повседневной разработке и как проверяете корректность и безопасность сгенерированного ими кода?
Компания работает с огромными объемами логистических данных. Проверка навыков проектирования масштабируемых систем.
Опишите ваш опыт проектирования микросервиса на Java, который должен обрабатывать резкие скачки трафика. Какие паттерны вы бы использовали?
Упоминается работа с GCP и управляемыми сервисами. Проверка практического опыта с облачной инфраструктурой.
С какими сервисами Google Cloud Platform вы работали и как вы подходите к обеспечению наблюдаемости (observability) в облачной среде?
В описании указано владение как реляционными, так и NoSQL базами данных. Важно понять логику выбора инструмента.
В каких ситуациях для логистической платформы вы бы предпочли PostgreSQL вместо MongoDB, и наоборот?
Роль предполагает участие в on-call ротациях. Проверка стрессоустойчивости и навыков отладки.
Расскажите о самом сложном инциденте в продакшене, который вам пришлось решать. Как вы проводили root cause analysis?
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