Principal Engineer

• Own technical direction and architecture evolution of a live, revenue-generating platform
• Scale throughput and reliability while customers onboard, including zero-downtime changes to running systems
• Harden the platform: tenant isolation, rate limiting, security, data integrity
• Establish observability, SLOs, and incident practices as the customer base grows
• Lead performance and capacity work ahead of demand, not behind it
• Raise engineering standards through design reviews and mentorship
• Partner with Product to balance platform investment against feature delivery
• Identify and retire scaling risks and technical debt before they compound

Requirements

• 10+ years building and operating cloud-native backend or platform systems
• Owned the scaling of a production SaaS or data platform through rapid customer growth: hardening, re-architecture under load, and maturing an early product to enterprise grade
• Deep hands-on experience with high-throughput distributed systems: event streaming or message queues, async processing, idempotency, retries, backpressure
• Strong performance engineering: profiling, load testing, horizontal scaling, capacity planning
• Production reliability ownership: observability, SLOs, incident management, fault-tolerant design
• Multi-tenant SaaS experience, including tenant isolation and noisy-neighbor problems
• Proficiency in Python and JavaScript/TypeScript (Next.js)
• Hands-on daily coder with founder-level ownership; comfortable in low-process, high-ambiguity environments
• Built or scaled an integration platform, ETL/data pipeline product, or API platform (connectors, transformation pipelines, webhooks) (Nice to Have)
• Kafka or similar streaming infrastructure at scale (Nice to Have)
• Supply chain or logistics systems exposure (WMS, OMS, TMS, EDI integrations) (Nice to Have)
• AI-assisted engineering workflows; AI is deeply embedded in how we build (Nice to Have)
• Experience shipping AI/LLM-driven capabilities in production (rag, generation pipeline, agentic workflows) (Nice to Have)

Core Competencies

Demonstrates expertise in scaling cloud-native backend systems, ensuring production reliability, and implementing performance engineering practices. Proficient in Python and JavaScript/TypeScript, with a strong focus on multi-tenant SaaS architecture and observability.

Highest-signal resume keywords

• Cloud-Native Backend Systems
• Performance Engineering
• Production Reliability Ownership
• Multi-Tenant SaaS Experience
• High-Throughput Distributed Systems

ATS Optimization Keywords

Hard Skills

• Python
• JavaScript
• TypeScript
• Event Streaming
• Message Queues
• Async Processing
• Load Testing
• Capacity Planning
• Fault-Tolerant Design
• Tenant Isolation

Soft Skills

• Mentorship
• Leadership
• Collaboration

Industry Keywords

• SaaS
• Data Platform
• Observability
• Incident Management
• Scaling Risks
• Technical Debt

Tools & Technologies

• Kafka
• ETL
• API Platforms
• Integration Platforms
• AI/LLM-Driven Capabilities