Brinqa - Principal Software Engineer
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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 • 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
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
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