Principal Software Engineer - AI Team

Brinqa•Brampton, ON

43d

About The Position

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!

Requirements

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

Nice To Haves

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

Responsibilities

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