• Lead the development of end-to-end features for Loopio’s web platform • Drive architectural decisions and system-level designs across teams • Build technology for bug prevention in software • Gather user feedback for creating a user-centric experience • Collaborate closely with Product Managers and Designers to iterate on features • Mentor and coach teammates to foster knowledge-sharing • Contribute to AI roadmap with evaluation of third-party models and technical guidelines • Lead technical design discussions and influence decision-making

• Deliver complex features and service improvements from technical design through implementation, rollout, and maintenance. • Build and evolve optimization-driven systems using our modern stack: C#/.NET, AWS, event-driven services, and data-intensive backends. • Partner with product, plant operations, shipping, support, and other engineering teams to clarify requirements, understand real-world constraints, and translate them into reliable software solutions. • Take ownership of technical quality in the areas you work on, including testing, maintainability, observability, performance, and operational readiness. • Investigate production issues using logs, metrics, and data analysis, identify root causes, and implement improvements to code, configuration, and team practices. • Contribute to design discussions and code reviews, offering thoughtful input on trade-offs and helping improve the reliability and clarity of our systems. • Act as a resource to other engineers on the squad by sharing context, reviewing code, pairing when helpful, and supporting strong engineering practices across the team.

• Architect and evolve core backend systems—event ingestion, real-time risk evaluation, semantic search, and investigation-grade querying. • Design and optimize streaming data pipelines using Kafka, Redpanda, or similar technologies to support high-throughput, low-latency processing of LLM interactions. • Define and refine data models and schemas across structured (Postgres), analytical (ClickHouse), unstructured (S3), and vector (Qdrant) storage layers. • Identify architectural weaknesses and performance bottlenecks across ingest, indexing, and query layers; lead improvements to support scalability, correctness, and observability. • Implement data ingestion and transformation frameworks that support policy evaluation, semantic analysis, and dynamic response. • Optimize query performance, storage efficiency, and retrieval accuracy to support deep investigation and real-time enforcement. • Build and maintain backend APIs, monitoring infrastructure, and policy enforcement workflows that underpin the ThirdLaw platform.

• Creating new cost management features such as forecasts, anomaly alerts and cost allocations to make staying on top of costs a breeze • Developing reusable and robust UI components to make the cost exploration experience as seamless as possible • Building new data visualization capabilities to communicate performance, query timing and efficiency in novel ways • Building data pipelines and dbt models to surface new insights and opportunities to our users • Improving the reliability & performance of our application