Principal Backend Software Developer
Required skills
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
Preferred skills
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
Technologies
Java/Kotlin, Node Js, REST/gRPC, Kubernetes, CI/CD, IaC
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
Seniority
Principal
Domain
AI, commerce, automation, platform engineering, distributed systems
Full job description
L'affichage de poste en français suivra / The French job posting follows.
Position Overview
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
Minimum Qualifications
- 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
Preferred Qualifications
- 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
The Ideal Candidate
AI copilots