Salary
≈ $153k – $284k per year (Estimated)
Location
In office (Norwalk)
Seniority
Staff · 10+ years exp
Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on May 28, 2026. RB Global scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Headquartered in Westchester, Illinois, United States, RB Global, Inc. (formerly Ritchie Bros. Auctioneers) is a leading omnichannel marketplace provider specializing in the disposition, auction, and lifecycle management of commercial assets and vehicles. The company operates a global network of digital trading platforms and physical auction sites under prominent brands, including Ritchie Bros., IAA, Rouse Services, and SmartEquip. Beyond live and online unreserved auctions for heavy machinery, agricultural equipment, and automotive fleets, it provides end-to-end support services such as equipment inspection, asset appraisals, title processing, and logistics management. RB Global plays a pivotal role in facilitating global business-to-business commerce across construction, transportation, agriculture, and government surplus sectors.
Role Summary: The Sr. Staff Software Engineer will be part of the new Product Engineering team tasked with designing and building the next generation of Agentic AI-powered products for SmartEquip. Acting as the Technical Lead and Primary Architect, you will be a hands-on leader responsible for the team’s overall delivery. You will lead a small squad by decomposing complex product requirements into actionable tasks, providing deep technical mentorship, and guiding the architectural direction while remaining deeply embedded in the codebase.
Key Responsibilities:
- Technical Execution: Lead technical delivery by translating high-level product roadmaps into actionable development cycles. Partner with Product Owners to define scope and ensure high-quality output through rigorous code reviews and technical mentorship
- Transactional Microservices: Architect and develop high-concurrency backend services in Python (FastAPI/Django) to handle core business logic, including shopping carts, order processing, and complex transactional workflows
- Tool Engineering for Agents : Design and implement "Agent-Ready" APIs using Pydantic for strict type enforcement and OpenAPI/MCP for autonomous service discovery, allowing agents to execute business actions (like placing an order) with 100% reliability.
- Integration Frameworks: Build and maintain secure, scalable integration layers (OAuth2, Webhooks) to connect the SmartEquip platform with diverse customer ERP and procurement systems
- Observation-Friendly APIs: Implement advanced error-handling and "hinting" within API responses to allow autonomous agents to self-diagnose and correct invalid requests during complex multi-step tasks
- AI-Native SDLC: Actively utilize autonomous coding agents to plan, generate, and test backend code, maintaining high velocity while ensuring code quality through agent-assisted peer reviews.
- Security & Auth: Own the implementation of secure authorization protocols (JWT,OpenID Connect) to ensure that both humans and AI agents operate within strict permission boundaries
- Performance Optimization: Monitor and optimize API latency and database query performance (PostgreSQL/MS SQL) to support real-time interaction for both web/mobile apps and high-frequency agent calls.
Skills and Experience:
- 10+ years of Software Engineering experience, with a proven history of leading technical squads, architecting, and building complex transactional backend systems.
- Expert mastery of Python (FastAPI, Django) and proficiency in modern Front-end frameworks (Angular/Typescript).
- Deep mastery of RESTful API design, specialized in Tool-Calling patterns and structured data exchange for LLMs.
- Strong SQL skills (PostgreSQL/MS SQL) and production experience with OAuth2/JWT for secure service-to-service communication.
- Experienced in working with cloud platforms (GCP, AWS) and deploying containerized services that are secure and scalable.
- Demonstrated proficiency in using coding agents to accelerate the SDLC and plan and code complex engineering tasks.
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