Plenful - Principal Software Engineer

• Data Architecture & System Design • Define and evolve core data models for workflows, system state, actions, and outcomes. • Design scalable, maintainable abstractions across platform services. • Establish clear boundaries between systems and services that support team autonomy. • State Management & Data Systems • Architect systems for managing workflow state and historical data across distributed infrastructure. • Keep high-throughput systems performant, reliable, and scalable. • Make informed tradeoffs in data modeling, indexing, and access patterns. • Traceability & Data Integrity • Design systems that support traceability and observability of system behavior. • Make sure data models and storage systems support auditing, versioning, and evolution over time. • Build mechanisms that maintain data consistency and integrity. • Engineering Standards • Establish best practices for schema management, testing, and data quality. • Improve system reliability and cut operational overhead through strong architectural patterns. • Work with engineering teams to keep the platform consistent. • You'll know it's working when data systems scale reliably to support growing product and customer needs, architecture stays clear and maintainable so teams move faster, operational burden drops through better system design, and data governance and consistency hold across the platform. • You May Be a Fit If • You May Be a Fit If • You've spent 12+ years owning data architecture in large-scale production systems. • You have deep relational database and distributed systems expertise. • You've evolved schemas in complex, regulated domains. • You have clear judgment on normalization vs. denormalization, performance tradeoffs, and system boundaries. • You've handled mission-critical incidents in production. • You're comfortable operating in ambiguous, fuzzy problem spaces. • You can code hands-on in a Python-heavy backend environment, with strong reliability instincts including observability, testing, and QA rigor. • Bonus points for experience in healthcare, fintech, or infrastructure environments; exposure to modern, high-throughput infrastructure; a practical understanding of applied AI systems; and comfort in customer-facing technical discussions.