- Страна
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- 129 388 ₽ – 161 735 ₽
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Senior Software Engineer - AI
Отличная вакансия в известной компании с прозрачным диапазоном зарплаты и фокусом на самые современные технологии (Agentic AI). Гибридный формат работы в Ванкувере и сильная корпоративная культура делают предложение очень привлекательным.
Сложность вакансии
Роль требует глубоких знаний как в традиционной бэкенд-разработке (Python/Java), так и в специфических областях ИИ, таких как векторные БД и Agentic AI. Высокая планка ожиданий к опыту работы с облачными сервисами и микросервисной архитектурой.
Анализ зарплаты
Предложенная зарплата (129k - 161k CAD) полностью соответствует рыночным ожиданиям для Senior-разработчика в Ванкувере, особенно с учетом специализации в области ИИ. Верхняя граница диапазона даже несколько выше среднего медианного значения для общего бэкенда.
Сопроводительное письмо
I am writing to express my interest in the Senior Software Engineer - AI position at Boomi. With over four years of experience in backend development and a strong focus on Python and microservices, I am excited about the opportunity to contribute to your intelligent integration and automation platform. My background in building scalable systems using FastAPI and AWS aligns perfectly with Boomi's mission to connect everyone to everything, anywhere.
I am particularly drawn to this role because of its focus on Agentic AI and vector databases. I have hands-on experience with LangChain and LangGraph, and I am eager to apply my knowledge of agentic design patterns to enhance Boomi's ecosystem. My commitment to high-quality, production-grade code and my experience in Agile environments make me a strong fit for your collaborative engineering team in Vancouver.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в boomilp уже сейчас
Присоединяйтесь к Boomi и создавайте будущее интеграций с помощью передовых технологий Agentic AI!
Описание вакансии
About Boomi and What Makes Us Special
Are you ready to work at a fast-growing company where you can make a difference? Boomi aims to make the world a better place by connecting everyone to everything, anywhere. Our award-winning, intelligent integration and automation platform helps organizations power the future of business. At Boomi, you’ll work with world-class people and industry-leading technology. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact, and want to be part of building something big. If this sounds like a good fit for you, check out boomi.com or visit our Boomi Careers page to learn more.
How You'll Make An Impact
As a Senior Software Engineer, you will contribute to the development of robust backend systems, implementing high-quality designs to deliver scalable and efficient solutions that meet customer and business needs. Your work will focus on ensuring reliability, performance, and maintainability across backend services.
What You Will Do
- Implement backend solutions using Python & Java, based on provided architectures and designs.
- Develop, test, and deploy scalable backend services, ensuring they meet performance and reliability standards.
- Build and maintain microservices that align with the team's established architecture and coding standards.
- Collaborate with other team members and integrate backend systems with other components such as UI.
- Investigate and resolve production issues, contributing to the overall stability of the platform.
- Adhere to best practices for coding, testing, and deployment, including participating in code reviews.
The Experience You Bring
- Backend Development: Solid experience developing backend systems using Python (preferred) or Java. Working knowledge of frameworks such as FastAPI, Django, Flask (Python) or Spring Boot.
- Database Skills: Strong understanding of both SQL and NoSQL databases. Knowledge of database design principles and optimization techniques. Familiarity with vector databases, knowledge graphs & their applications.
- Agentic AI: Understanding of Agentic principles and workflows. Familiarity with agentic design patterns and exposure to frameworks such as AWS Bedrock, LangChain, LangGraph, LlamaIndex or similar ecosystems. Some hands-on experience building or contributing to agentic systems is desirable.
- Cloud Platforms: Hands-on experience with cloud services such as AWS, Azure, or Google Cloud.
- Microservices: Familiarity with microservices architecture and container orchestration technologies such as Kubernetes, EKS, Docker, or similar platforms.
- Infrastructure Tools: Familiarity with tools like Terraform, CloudFormation, or Ansible for managing infrastructure as code.
- Linux/Unix Environments: Comfortable working in Linux/Unix environments for development and deployment tasks.
- CI/CD Practices: Familiarity with CI/CD pipelines and tools such as Harness, Jenkins, or similar systems.
- Version Control: Proficiency with Git and understanding of collaborative development workflows.
- Quality & Testing: Strong commitment to delivering production-grade code with familiarity across different testing strategies. Ability to write comprehensive unit tests and integration tests, with experience adopting test-driven development (TDD) approaches to ensure high-quality, maintainable code.
- Problem-Solving Skills: Good analytical skills, with an emphasis on debugging, performance optimization, and fault tolerance.
- Agile & Collaboration: Exposure to Agile methodologies and tools like Jira and Confluence. Effective communication and collaboration skills, with the ability to thrive in dynamic and cross-functional team environments.
- Prior experience or knowledge of LLM models Reinforcement learning techniques, model distillation and model evaluation and inference infrastructure/framework development experience is going to be a big plus
Education
- Bachelor's degree in Computer Science or a related field with 4+ years of experience in backend software development.
Aren’t sure if you’re a match? We know that impostor syndrome and the confidence gap can prevent us from meeting spectacular candidates — so don’t hesitate to apply; you could be the perfect fit!
LocationVancouver - Hybrid
Compensation and Benefits
Boomi is committed to fair and equitable compensation practices. Base compensation for this position in our Vancouver hub ranges from $129,388 - $161,735 CAD annually + applicable bonus. Final compensation will be determined by various factors including the candidate’s knowledge, skills, experience, and geographic location.
Be Bold. Be You. Be Boomi. We take pride in our culture and core values and are committed to being a place where everyone can be their true, authentic self. Our team members are our most valuable resources, and we look for and encourage diversity in backgrounds, thoughts, life experiences, knowledge, and capabilities.
All employment decisions are based on business needs, job requirements, and individual qualifications.
Boomi strives to create an inclusive and accessible environment for candidates and employees. If you need accommodation during the application or interview process, please submit a request to talent@boomi.com. This inbox is strictly for accommodations, please do not send resumes or general inquiries.
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Навыки
- Git
- AWS
- Azure
- Python
- Terraform
- SQL
- Kubernetes
- CI/CD
- Vector Database
- Google Cloud Platform
- Docker
- Java
- NoSQL
- Spring Boot
- TDD
- FastAPI
- Ansible
- LangChain
- AWS Bedrock
- Flask
- Django
- LangGraph
- Knowledge Graph
- LlamaIndex
Возможные вопросы на собеседовании
Вакансия делает упор на Agentic AI и фреймворки вроде LangGraph.
Можете ли вы описать опыт проектирования агентных систем и как вы решали проблему зацикливания или непредсказуемости поведения агентов?
Упоминается работа с векторными базами данных.
В каких случаях вы бы предпочли векторную базу данных традиционной реляционной, и какие метрики сходства вы использовали в своих проектах?
Требуется опыт работы с Python и Java в микросервисной среде.
Как вы обеспечиваете консистентность данных между микросервисами при использовании разных стеков технологий (например, Python для ИИ и Java для бизнес-логики)?
Компания ценит надежность и производительность.
Расскажите о самом сложном случае оптимизации производительности бэкенд-сервиса под высокой нагрузкой: какие инструменты профилирования вы использовали?
Упоминается CI/CD и инфраструктура как код.
Каков ваш опыт работы с Terraform или CloudFormation при развертывании моделей машинного обучения в облаке AWS?
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- Страна
- Канада
- Зарплата
- 129 388 ₽ – 161 735 ₽