Senior/Staff Software Engineer (Platform)

Clera

$160K — $250K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in backend services, data pipelines, or platform infrastructure production
  • Strong hands-on experience with TypeScript and Next.js
  • Experience designing systems with transactional guarantees (ACID semantics)
  • Experience creating NLP/ML pipelines for unstructured documents
  • Proficient in designing and scaling PostgreSQL or relational database schemas
  • Experience with event-driven systems and message queues
  • Direct exposure to AI frameworks and recent web development experience
  • Professional knowledge in supply chain, procurement, or logistics domains
  • Startup experience, particularly in founding roles, is strongly preferred.

Responsibilities

  • Design scalable backend services using Next.js API routes and serverless functions
  • Build and productionize AI/ML infrastructure and intelligent quote analysis tools
  • Own the data layer, including PostgreSQL schema design and complex queries
  • Architect event-driven systems for state management and notification triggers
  • Implement caching and rate limiting for reliable API calls
  • Establish monitoring, alerting, and observability for backend systems
  • Facilitate incident responses for backend infrastructure.

Benefits

  • Visa sponsorship available
  • Fully remote position with a preference for San Francisco-based candidates.
Full Job Description
About the Role

You'll build the software backbone powering autonomous manufacturing operations at a seed-stage AI supply chain startup. As a Senior or Staff Software Engineer on the Platform team, you'll design scalable backend services, data pipelines, and integrations that coordinate AI-powered agents and high-stakes transactions across complex supply chain workflows, directly enabling physical goods to move reliably through manufacturing systems.
What You'll Do
  • Design and scale backend services using Next.js API routes, background jobs, and serverless functions to handle high-throughput order processing.
  • Build and productionize LLM-based agents, AI/ML infrastructure, and RAG patterns for intelligent quote analysis and supplier recommendations.
  • Own the data layer by designing PostgreSQL schemas, migrations, and complex queries for materials, quotes, orders, and supplier relationships.
  • Architect event-driven systems with reliable pipelines for order state management, notification triggers, and cross-system synchronization.
  • Implement caching and rate limiting strategies to ensure reliable external API calls at scale.
  • Establish monitoring, alerting, and observability patterns while owning incident response for backend systems.
What We're Looking For
  • 5 or more years building backend services, data pipelines, or platform infrastructure in production environments.
  • Strong TypeScript and Next.js hands-on experience, with recent, direct involvement in web development.
  • Demonstrated experience designing systems with transactional guarantees (ACID semantics, exactly-once processing) and idempotent APIs.
  • Experience building NLP/ML pipelines for data extraction from unstructured documents, including OCR and information extraction.
  • Experience designing and scaling PostgreSQL or relational database schemas for transactional workloads.
  • Experience building event-driven systems, message queues, or reliable pipelines for state management and cross-system synchronization.
  • Experience integrating with ERP systems (SAP, Oracle, or similar) and third-party APIs, including legacy or poorly documented interfaces.
  • Direct, recent hands-on AI experience including agentic frameworks alongside web development work.
  • Professional experience in manufacturing supply chain, procurement, or logistics domains.
  • Comfort operating on a very small, fast-moving team with flexibility and a generalist mindset.
  • Experience with Supabase or similar managed PostgreSQL platforms is a plus.
  • Experience with RAG patterns or similar AI/ML infrastructure is a plus.
  • Prior experience as a founder or founding engineer at a startup is strongly preferred.
  • Strong computer science fundamentals.
Compensation & Benefits
  • Salary: $160,000 to $250,000 annually (USD), depending on level and experience.
  • Visa sponsorship is available.
Location

Fully remote (United States). Being based in or willing to work in San Francisco, California is preferred.

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