Principal Software Engineer leading the AI platform technical vision and architecture at Brinqa. Designing scalable services for enterprise applications in a cybersecurity company.
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
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.
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