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Strong employer brand, metro location, mid-level generalist backend title, and broad cloud/AI skill requirements increase applicant competition.
Requires core backend and cloud distributed-systems expertise, somewhat transferable but needs specific systems experience.
Explicit 6–8 years requirement and mandatory backend, cloud, and IaC skills make filters highly strict.
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Lead the architecture and technical vision for large-scale, distributed collaboration backend systems within Autodesk’s AI-enabled platform.
Drive engineering best practices, including design/code reviews, automated cloud infrastructure, CI/CD, testing, and observability improvements.
Provide technical leadership and mentorship to engineering teams to enhance platform scalability, reliability, and resiliency.
6–8 years experience designing and building large-scale backend distributed systems in cloud environments.
Strong proficiency in Node.js, TypeScript, or Python with a focus on maintainable, testable code.
Deep experience with AWS cloud native services, infrastructure-as-code (e.g., Terraform), containers, automation, and CI/CD pipelines.
Bachelor’s degree in computer science/engineering or equivalent practical experience.
Experienced in Agile environments, capable of making data-driven technical decisions and leading design/code reviews.
Comfortable operating at a senior level driving architectural decisions and mentoring engineers on complex distributed systems.
Has familiarity or experience with AI-assisted workflows, ML platforms like Amazon Bedrock or SageMaker, and LLM application patterns for added advantage.