The Mandate We are seeking a Principal Software Engineer to lead the design and development of core data systems that power a scalable automation platform. This role focuses on building foundational infrastructure for managing complex workflows, system state, and historical data in a high-reliability environment.
This is a highly technical, hands-on role centered on system architecture and platform design. You will create durable, extensible data models and services that enable other engineering teams to build efficiently and safely on top of a shared foundation.
What You'll OwnData 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 to support team autonomy
State Management & Data Systems
- Architect systems for managing workflow state and historical data across distributed infrastructure
- Ensure high performance, reliability, and scalability for high-throughput systems
- Make informed tradeoffs in data modeling, indexing, and access patterns
Traceability & Data Integrity
- Design systems that support traceability and observability of system behavior
- Ensure data models and storage systems support auditing, versioning, and evolution over time
- Build mechanisms to maintain data consistency and integrity
Engineering Standards
- Establish best practices for schema management, testing, and data quality
- Improve system reliability and reduce operational overhead through strong architectural patterns
- Collaborate with engineering teams to maintain consistency across the platform
Environment & Technical Context- Cloud infrastructure (e.g., AWS)
- Relational databases (e.g., Postgres)
- Backend services (e.g., Python)
- Workflow orchestration systems
- Modern frontend technologies (e.g., React, TypeScript)
What Success Looks LikeScalable and reliable data systems that support growing product and customer needs
- Clear and maintainable architecture enabling faster development across teams
- Reduced operational burden through improved system design and reliability
- Strong data governance and consistency across the platform
Ideal BackgroundMust Have- 12+ years owning data architecture in large-scale production systems.
- Deep relational database and distributed systems expertise.
- Strong experience evolving schemas in complex, regulated domains.
- Clear judgment on normalization vs. denormalization, performance tradeoffs, and system boundaries.
- Experience handling mission-critical incidents in production.
- Comfort operating in ambiguous, fuzzy problem spaces.
- Hands-on coding ability in a Python-heavy backend environment. Strong reliability instincts, including observability, testing, and QA rigor.
Nice to Have- Experience in healthcare, fintech, or infrastructure environments.
- Exposure to or experience with modern, scaled, high-throughput infrastructure environments
- Practical understanding of applied AI systems (not pure ML research).
- Comfort in customer-facing technical discussions.
The Opportunity- Build the first context graph and decision tracing system in healthcare.
- Join a company that grew revenue 25x in 2.5 years ($1M to $25M).
- Architect greenfield infrastructure analogous to early RAG/LLM-era builds.
- Operate in a low-ego, high-velocity engineering culture.
Plenful Perks- Comprehensive Benefits Package: Enjoy unlimited PTO, fully covered health insurance (medical, dental, and vision), meal stipend, health & wellness stipend, 401(k) matching, and stock options
- Mission-Driven, World-Class Team: Join an exceptional group of professionals aligned around a meaningful mission and committed to making an impact
- Opportunities for Growth: Strengthen your partnership expertise through collaboration with experienced, high-performing leaders across the organization
- Flexible Hybrid Work Environment: This position is would be based out of our downtown San Francisco office 2 days a week. (M/W)
