Senior/Staff Software Engineer (Platform)

Clera

$160K — $250K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in supply chain software engineering, particularly in manufacturing and logistics.
  • Strong understanding of computer science fundamentals with any educational background considered.
  • Experience with reliable data processing providing transactional guarantees, focusing on ACID semantics and idempotent APIs is a plus.
  • Background in building NLP/ML pipelines for data extraction from unstructured sources like documents and emails.
  • Familiarity with ERP system integration and ability to work with legacy systems is valuable.

Responsibilities

  • Design and scale backend services using Next.js for high-throughput order processing.
  • Develop and deploy AI/ML infrastructure and LLM-based agents for intelligent supplier interactions.
  • Create and manage the data layer using PostgreSQL, ensuring effective schema design and migration.
  • Architect event-driven systems for efficient order management and notifications.
  • Implement caching strategies and rate limiting for external API reliability at scale.
  • Establish monitoring and alerting protocols and manage incident responses related to backend systems.

Benefits

  • Equity opportunities in a funded and high-growth startup environment.
  • Visa sponsorship is available for qualified candidates.
  • Engage in a high-ownership role that significantly impacts manufacturing operations.
Full Job Description
About the Role

As a Senior/Staff Software Engineer (Platform), you'll build the core software layer that enables autonomous manufacturing operations. This is a high-ownership, central role: you'll design scalable backend services, intelligent data pipelines, and integrations with ERP and freight systems that move physical goods reliably. You'll also coordinate AI-powered agents and high-stakes transaction processing across complex manufacturing workflows.

Visa sponsorship is available for this role.
What You'll Do
  • Design and scale backend services: Architect Next.js API routes, background jobs, and serverless functions that 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 for 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 backend systems.
What We're Looking For

Required:
  • Experience working within the supply chain domain (manufacturing, procurement, sourcing, or logistics).
  • Strong CS fundamentals - all educational backgrounds are welcome.

Strongly valued:
  • Experience designing reliable data processing with transactional guarantees: ACID semantics, exactly-once processing, and idempotent APIs.
  • Experience with NLP/ML pipelines to extract data from unstructured documents and emails, including OCR and information extraction.
  • Domain knowledge of manufacturing supply chain, procurement, and logistics workflows.
  • Experience integrating with ERP systems (e.g., SAP, Oracle) and freight/carrier APIs, including legacy or poorly documented interfaces.

Tech stack: TypeScript, Node.js, Python, PostgreSQL, LLMs, vector databases, RAG architectures, CI/CD, containerization, AWS, RESTful patterns.

We're open to a range of experience levels - roughly 2-10+ years - and will calibrate seniority (Senior or Staff) based on your background.
Compensation & Benefits
  • Salary: $160,000 - $250,000 USD annually, depending on seniority and experience.
  • Early-stage equity in a funded, high-growth company.
  • Visa sponsorship available.
Location

This is a full-time, on-site role based in San Francisco, CA. Candidates should be prepared to work from the office.

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