Principal Backend Software Developer

Autodesk is building a shared AI-assisted commerce platform that enables AI copilots and agents to safely discover, recommend, and transact Autodesk offerings. As a Principal Developer you will design and build the core APIs and orchestration layer (MCP) that connects AI systems to Autodesk’s commerce infrastructure-pricing, subscriptions, entitlements, and checkout-with enterprise-grade reliability, security, and governance.

This role sits at the intersection of platform engineering, distributed systems, and applied AI enablement.

Responsibilities

• Design and implement the runtime and APIs that allow copilots/agents to invoke commerce capabilities safely and consistently (e.g., product discovery * pricing * eligibility/entitlements * checkout)
• Create standardized patterns for tool invocation (idempotency, retries, rate limits, validation), error contracts, and deterministic behaviors suitable for LLM/agent workflows
• Build adapters and service interfaces to existing commerce capabilities (pricing, subscriptions, entitlements, checkout), including backward compatibility and rollout strategies
• Own service SLOs/SLIs, observability (logs/metrics/traces), resilience patterns, and incident readiness; drive post-incident improvements
• Implement strong authN/authZ, tenant isolation, secrets management, auditability, policy enforcement, and safe-guardrails around agent actions (approvals, constraints, and traceability)
• Provide SDKs, documentation, reference implementations, and golden paths so product teams can integrate agents quickly and safely
• Drive architecture decisions across teams, lead design reviews/RFCs, mentor developers, and influence roadmaps across the commerce + AI ecosystem

• 10+ years building and operating production backend/platform systems
• Deep knowledge of distributed systems: scaling, failure modes, consistency, caching, queues/streams, concurrency, idempotency, and backpressure
• Strong backend proficiency in one or more languages (e.g., Java/Kotlin, Node Js), plus strong API design (REST/gRPC) and data modeling
• Experience with cloud-native systems (Kubernetes, CI/CD, IaC), and building reliable services with modern observability
• Proven ability to lead cross-team initiatives through ambiguity, balancing platform correctness, security, and product velocity, * Experience designing platforms for automation/agents (workflow orchestration, tool routing, policy engines, approvals, audit trails)
• Commerce domain exposure: pricing catalogs, subscription lifecycle, entitlement checks, tax/payment/checkout flows
• Multi-tenant enterprise patterns: tenant isolation, RBAC/ABAC, compliance-minded logging, data retention
• Experience building internal platforms with adoption metrics, SDKs, and versioned contracts, * AI copilots and agents can reliably and safely complete commerce tasks using your MCP layer (with strong auditability and guardrails)
• Integrations with pricing/subscription/entitlements/checkout become simpler, standardized, and faster for teams to adopt
• Platform reliability improves measurably (SLO attainment, incident reduction, faster recovery) while maintaining strict security and governance