Senior/Staff Software Engineer (Platform)
At a glance
Senior Engineering Leadership role at Clera. San Francisco · full-time · $160,000–$250,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build Next.js APIs, background jobs and serverless functions to process large order volumes
- Develop LLM agents and RAG workflows for analyzing quotes and recommending suppliers
- Shape PostgreSQL data structures for materials, quotes, orders and supplier relationships
- Create event-driven flows for order updates, notifications and synchronization between systems
- Set up backend monitoring and alerts, and handle incidents across the platform
What you bring
- You have supply chain experience in manufacturing, procurement, logistics or another listed workflow
- You have built transactional data systems with guarantees such as ACID behavior, exactly-once processing and idempotent APIs
- You have used NLP or ML to extract information from documents and emails, including OCR
- You have integrated ERP platforms and freight APIs, including older or poorly documented systems
- You bring two to ten-plus years of relevant software engineering experience
Who this fits
This senior or staff-level role suits an engineer comfortable owning backend reliability and building data and AI systems. You’ll work on-site in San Francisco; the role is not remote. Visa sponsorship is available.
From the employer
About the Role
Join a seed-funded AI and supply chain automation startup serving US manufacturers. As a Senior/Staff Platform Engineer, you will build the software layer that powers autonomous manufacturing operations — designing scalable backend services, intelligent data pipelines, and deep integrations with ERP and freight systems that move physical goods reliably. This is a high-impact, foundational role at a small, fast-moving team.
What You'll Do
Design and scale backend services: Architect Next.js API routes, background jobs, and serverless functions to handle high-throughput order processing.
Build AI-powered agents: Develop and productionize LLM-based agents, AI/ML infrastructure, and RAG patterns for intelligent quote analysis and supplier recommendations.
Own the data layer: Design Supabase/PostgreSQL schemas, migrations, and complex queries covering materials, quotes, orders, and supplier relationships.
Architect event-driven systems: Build reliable pipelines for order state management, notification triggers, and cross-system synchronization.
Implement caching and rate limiting: Design strategies for external API calls to ensure reliability at scale.
Drive platform reliability: Establish monitoring, alerting, and observability patterns; own incident response for all backend systems.
What We're Looking For
Required: Experience within the supply chain domain (manufacturing, procurement, logistics, or freight workflows).
Proven experience designing reliable data processing with transactional guarantees — ACID semantics, exactly-once processing, and idempotent APIs.
Experience with NLP/ML pipelines for extracting data from unstructured documents and emails, including OCR and information extraction.
Familiarity integrating with ERP systems (e.g., SAP, Oracle) and freight/carrier APIs, including legacy or poorly documented interfaces.
Strong computer science fundamentals; all educational backgrounds welcome.
Tech stack: TypeScript, Node.js, Python, PostgreSQL, LLMs, embeddings, vector databases, RAG architectures, AWS, containerization, CI/CD, RESTful patterns.
2–10+ years of relevant software engineering experience.
Compensation & Benefits
Salary: $160,000 – $250,000 USD annually
Visa sponsorship available
Location
On-site in San Francisco, CA, United States. This role is not remote.
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