Brinqa

• Build and evolve high-throughput data pipelines (real-time and batch) • Design systems for large-scale ingestion, transformation, and enrichment • Develop APIs that expose data for advanced analytics and product features • Contribute to distributed storage and compute architecture • Ensure systems are scalable, reliable, and performant at enterprise scale • End-to-end delivery of features within the data platform • Technical design decisions and trade-offs across data, compute, and storage layers • Writing clean, testable, production-quality code • Driving improvements in performance, scalability, and system reliability

• Design and implement scalable, performant data plane components supporting high-volume ingestion and analytics workloads. • Contribute to the evolution of the data plane architecture as system requirements expand. • Evaluate and justify design trade-offs across distributed systems, data storage, and compute layers. • Influence technical decisions that impact multiple teams and platform components. • Ensure solutions meet enterprise-grade performance, reliability, and scalability expectations. • Develop systems that handle large-scale ingestion, transformation, enrichment, and persistence. • Support both real-time and batch data processing workflows. • Design for multi-cloud extensibility (GCP primary; AWS and Azure initiatives emerging). • Contribute to distributed database and storage strategy. • Use AI-assisted development tools in a disciplined way.

• Participate in the design of software products that meet our current requirements and are able to evolve as new requirements become known • Provide technical leadership on software implementation in support of the product roadmap • 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 • Assisting 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