{"id":2209470,"url":"https://alion.io/job/autodesk-principal-ai-software-developer","title":"Principal AI Software Developer","company":{"id":1844521,"name":"Autodesk","domain":"autodesk.co.uk","url":"https://alion.io/company/autodesk-co-uk","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":90000,"max_usd":183000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":19},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"DynamoDB","optional":false},{"name":"Flink","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kotlin","optional":false},{"name":"Progressive Delivery","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-10T00:02:34Z","employer_posted_date":"2026-10-10","last_verified_at":"2026-10-13T07:41:06Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Join Autodesk as a Principal AI Software Developer, where you will lead the architecture, execution, and operational excellence of a foundational commerce platform. This senior individual contributor role requires extensive experience in building and operating distributed systems in production. You will work on real-time, event-driven systems that process product usage, support billing workflows, and enable reliable customer experiences across Autodesk’s global portfolio. You will influence system design, technical strategy, engineering practices, and cross-team execution while remaining close to the code.\nMissions\nLead the architecture, design, and implementation of secure, scalable, maintainable backend systems for Autodesk’s global usage-based billing platform.\nBuild and optimize distributed services, event-driven workflows, APIs, and data-processing pipelines that support real-time usage capture, rating, billing, reconciliation, and downstream integrations.\nDrive technical design reviews, code reviews, architecture documents, and operational readiness reviews, and contribute to the technical roadmap, including platform modernization, technical debt reduction, migration strategy, and long-term architectural direction.\nProfil recherché\n - Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience- Demonstrated ability to mentor engineers and act as a technical multiplier\n- 8+ years of professional software engineering experience\n- Strong backend engineering experience building and operating production services at scale\n- Proven ability to design systems for high availability, low latency, fault tolerance, data consistency, and multi-region resilience\n- DynamoDB, Aurora, API Gateway, CloudWatch, or related cloud technologies\n- Excellent communication skills, with the ability to influence technical and non-technical stakeholders across teams\n- Hands-on experience with AWS services such as Lambda, Fargate, ECS, SQS, SNS,\n- Experience owning production systems, including observability, incident response, root-cause analysis, and reliability improvements\n- Strong technical judgment and ability to make pragmatic trade-offs across architecture, delivery speed, operational risk, cost, and long-term maintainability\n- Proficiency in one or more backend languages such as Java, Python, Go, Kotlin, or similar\n- Deep experience with distributed systems, microservices, event-driven architecture, real-time or near-real-time data processing, and cloud-native design\n- Experience building billing, payments, metering, usage, commerce, financial systems, or other correctness-critical platforms\n- Experience with high-throughput streaming or messaging systems such as Kafka, Kinesis, Flink, Spark Streaming, SQS, or similar\n- Experience designing idempotent, auditable, and eventually consistent systems\n- Experience with data modeling for transactional, analytical, and event-sourced systems\n- Experience with infrastructure as code, CI/CD, automated testing, progressive delivery, and deployment safety\n- Experience leading large technical initiatives across multiple teams or organizations\n- Background in cost optimization for large-scale cloud systems\n- Experience migrating legacy systems to modern cloud-native 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