- Страна
- Канада
Откликайтесь
на вакансии с ИИ

Principal Software Engineer - AI Team
Сильная позиция в стабильной компании с серьезным финансированием (Insight Partners). Работа на острие технологий (AI + Cybersecurity) и удаленный формат делают вакансию очень привлекательной для опытных архитекторов.
Сложность вакансии
Роль требует исключительного сочетания навыков: глубокой экспертизы в Java-стеке, опыта построения распределенных систем на Kubernetes и практических знаний в области Generative AI и агентных архитектур. Высокий уровень ответственности за архитектурное видение всей платформы делает эту позицию крайне сложной.
Анализ зарплаты
Указанная роль Principal уровня в Канаде (Онтарио/Новая Шотландия) обычно оплачивается в диапазоне 160,000–220,000 CAD. Предложение Brinqa, вероятно, находится в верхней части рынка, учитывая требования к AI-экспертизе и статус компании.
Сопроводительное письмо
I am writing to express my strong interest in the Principal Software Engineer position within the AI Team at Brinqa. With over 8 years of experience in building large-scale SaaS applications and a deep background in Java/Spring Boot ecosystems, I am excited about the opportunity to own the technical vision for your AI platform. My expertise in architecting distributed systems and managing containerized workloads on GKE aligns perfectly with Brinqa's mission to process and analyze cyber risks at scale.
In my previous roles, I have successfully led the transition to microservices architectures and mentored senior engineering talent to deliver high-performance solutions. I am particularly drawn to this role because of the focus on agentic AI architectures and multi-agent systems. Having worked with generative AI and vector embeddings, I am confident in my ability to design the foundational services that will empower your Product Engineering Team to build next-generation security features.
Brinqa’s reputation for empowering Fortune 50 companies with actionable risk analytics is impressive. I am eager to bring my technical leadership and passion for scalable infrastructure to your team to help drive the long-term evolution of your AI capabilities. Thank you for considering my application.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в brinqa уже сейчас
Присоединяйтесь к лидерам кибербезопасности и возглавьте разработку инновационной AI-платформы в Brinqa!
Описание вакансии
Brinqa is the leading provider of unified cyber risk management and security analytics. Our software empowers companies to make cyber risk decisions across a wide range of platforms quickly and efficiently.
We help our customers’ cyber security and technology teams discover, prioritize and treat the most important risks based on real-time risk analytics, automated risk assessments, and remediation. With actionable insights and timely communications provided by our software, our customers are reducing their response times to the constantly changing and emerging threats and saving their business from potential negative and significant impacts.
Brinqa has an immediate need for a Principal Software Engineer who will own the technical vision and architecture of our AI platform, designing and building the foundational services that the Product Engineering Team will use to develop our AI features. You will need to use your expertise to ensure the platform is highly scalable, performant, and built on modern microservices patterns. Brinqa is a data processing and analytics platform that ingests, consolidates, enriches, processes, and persists hundreds of millions of vulnerabilities daily.
The ideal candidate must have a background in architecting and delivering large-scale SaaS platforms, with deep experience in distributed systems and containerized environments. Brinqa is seeking an engineer passionate about delivering high-quality solutions used by some of the world's largest enterprises. The position reports to a Manager of Software Engineering or above.
If you are looking to build your career with an exceptional team, be part of building something great, and making an impact, you may have found it here at Brinqa!
WHAT YOU WILL DO -
- Own the long-term technical vision and architecture for the AI platform, driving alignment across engineering teams on standards, patterns, and technology choices
- Architect and implement multi-agent systems using microservices patterns, ensuring modularity, fault tolerance, and independent scalability
- Design and manage containerized deployments on Google Kubernetes Engine (GKE), including service mesh configuration, autoscaling, and observability
- Establish monitoring, distributed tracing, and logging strategies across agent services to ensure reliability and rapid incident resolution
- Provide technical leadership on software implementation in support of the product roadmap
- Evaluate and recommend foundational technology choices that balance current needs with long-term platform evolution
- Demonstrate leadership in support of quality initiatives that achieve the expectations of prospects and maintain high renewal rates
- Champion processes that support team-led work planning, value delivery, and predictable execution
- Participate in planning sessions that ensure quality objectives are well-understood so that standards and metrics can be established
- Deliver predictable operational support for both internal and external consumers of our technologies
- Mentor senior engineers and assist in building a highly capable team based on great talent identification and recruiting
- Help ensure that the engineering team is happy, prolific, and autonomous
- Maximize the productivity of our technologies by assisting in the development of technical documentation
WHAT YOU’LL NEED -
- 8+ years of experience in building large-scale SaaS applications
- 3+ years of experience in technical leadership, mentoring senior engineers, and driving cross-team architectural decisions
- 5+ years of experience in SaaS Java/Groovy enterprise web application development
- 5+ years of experience in Spring Boot
- Experience with Docker, containerization, and orchestrating workloads on Kubernetes (GKE preferred)
- Experience using generative AI including LLMs and vector embeddings
- Experience in developing web-scale applications
- Experience working with REST APIs
- Ability to work across the platform stack, from infrastructure and orchestration through application services
- Understanding of Agile Scrum methodologies
- Significant work experience in enterprise IT systems management applications
- Demonstrated experience in technical leadership, mentoring senior engineers, and driving cross-team architectural decisions
- Excellent verbal and written communication skills
AND IDEALLY -
- Experience designing agentic AI architectures that leverage microservices for independent agent deployment, routing, and lifecycle management on GKE
- Experience with MCP and agentic AI architectures
- Experience with event-driven architectures and message queues (Kafka, Google Pub/Sub) for inter-agent communication
- Experience with infrastructure-as-code tools (Terraform, Helm) for managing Kubernetes deployments
- Experience with GKE tooling such as Istio/Anthos service mesh, Workload Identity, and Kubernetes-native CI/CD pipelines
- Experience with analytical AI; training classification models or auto-encoders
- Experience working with Neo4J or Yugabyte
- Experience developing cybersecurity or IT systems management applications
- Advanced Degree in Computer Science, Engineering, or related discipline
HERE’S A LITTLE MORE ABOUT US
Brinqa was founded in 2008 by cybersecurity and technology veterans that witnessed first-hand the significant amount of time and people it took a company to manage the various tools and resources to protect the business from the ever evolving and changing world of cybersecurity.
Building a cybersecurity platform that connects all of the relevant IT, security, and business data resources to create a common data view with actionable insights would give companies a resource that would allow them to respond faster, smarter and more efficiently.
In June 2021, with a solid and effective product benefiting and significantly impacting Fortune 50 companies, Brinqa received its first and only institutionalized funding with Insight Partners. Investing $110M and a minority position in the business, Insight Partners provided Brinqa a way to provide their cybersecurity platform product to more enterprise companies by building their employee base with expertise in Sales, Marketing, Customer Success, Professional Services and People.
It is an exciting time of growth and for individuals to make an immediate and lasting impact on the company and its market
We’re committed to promoting Equal Employment Opportunity (EEO) at Brinqa - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Java
- Groovy
- Spring Boot
- Docker
- Kubernetes
- Google Kubernetes Engine
- Generative AI
- LLM
- Vector Embeddings
- REST API
- Microservices
- Terraform
- Helm
- Istio
- Kafka
- Google Pub/Sub
- Neo4j
- YugabyteDB
Возможные вопросы на собеседовании
Вакансия подразумевает владение современными паттернами AI. Важно понять, как кандидат планирует разделять логику агентов.
Как бы вы спроектировали архитектуру мультиагентной системы, используя микросервисный подход на базе GKE, чтобы обеспечить независимое масштабирование каждого агента?
Компания работает с огромными объемами данных (сотни миллионов уязвимостей). Необходимо проверить навыки работы с высоконагруженными системами.
Опишите ваш опыт оптимизации Java/Spring Boot приложений для обработки потоковых данных в реальном времени. Какие стратегии кэширования и персистентности вы бы применили?
Роль Principal подразумевает лидерство. Важно оценить умение разрешать технические конфликты.
Расскажите о случае, когда вам пришлось принимать сложное архитектурное решение, с которым была не согласна часть команды. Как вы аргументировали свой выбор?
В стеке упоминаются Neo4J и Yugabyte. Нужно понять опыт работы с нереляционными и распределенными БД.
В каких сценариях для анализа киберрисков вы бы предпочли графовую базу данных (Neo4J) вместо традиционной реляционной?
Вакансия требует опыта с LLM и векторными эмбеддингами. Проверка практических знаний интеграции AI в продукт.
Какие основные проблемы вы видите при внедрении LLM в корпоративный SaaS-продукт (безопасность, галлюцинации, стоимость) и как вы предлагаете их решать на уровне архитектуры?
Похожие вакансии
MLOps Engineer (Python)
Middle, Middle+, Senior GenAI/LLM Разработчик
Middle / Senior GenAI Engineer (CV)
AI Engineer / AI Mentor
AI-специалист
Junior разработчик agent AI-систем
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- Канада