Principal Software Engineer - Backend

Job Requisition ID #26WD97363Position OverviewWe are seeking a Principal Software Engineer – Backend to join Autodesk's Enterprise Data Management (EDM) organization within the COO-GET Engineering group. This is a senior individual contributor role operating at the Principal (P4) level, expected to drive technology direction for large, complex, and business-critical backend and distributed systems.This role is anchored in backend software engineering excellence: designing, building, and evolving scalable services, APIs, and event-driven systems that operate at enterprise scale. As a Principal Engineer, you will work with high autonomy and ambiguity, shape long-term architecture, and influence multiple teams and domains. Familiarity with data engineering concepts is valuable, but backend systems, service design, and distributed systems are the core competencies.You will function as a technical authority and force multiplier—guiding design decisions, setting standards, and ensuring Autodesk's core data services are reliable, resilient, and evolvable over time.ResponsibilitiesProvide principal-level technical leadership across multiple backend and platform teams, shaping architecture and technical strategy beyond a single squad or serviceAuthor and evolve critical backend systems and APIs, ensuring they meet long-term scalability, reliability, and extensibility goalsLead design of distributed, event-driven systems, addressing consistency, ordering, failure handling, replay, idempotency, rate limiting, and backpressureEstablish and drive service and API standards across domains, including schema design, versioning strategies, backward compatibility, and consumer experienceAct as a technical decision-maker for cross-team initiatives; evaluate trade-offs and make durable architectural choices aligned with business prioritiesDrive operational excellence across systems you influence: observability, alerting strategy, incident response, post-incident learning, and systemic remediationIntroduce and reinforce engineering best practices for design reviews, code quality, testing, CI/CD, and production readiness across multiple teamsMentor senior engineers and emerging technical leaders; raise the bar through influence, example, and coaching rather than direct managementPartner deeply with product, data, and platform leaders to translate ambiguous business problems into clear, actionable technical solutionsRemain hands-on where impact is highest: complex system design, critical implementations, architectural refactors, and high-severity incident resolutionMinimum QualificationsBachelor's or Master's degree in Computer Science, a related technical field, or equivalent practical experience10+ years of professional software engineering experience, with significant depth in backend and distributed systemsDemonstrated expertise building and operating backend services and APIs in production environments at scaleStrong experience with distributed systems design, including asynchronous processing, messaging, eventual consistency, and fault toleranceDeep hands-on experience with AWS and cloud-native architectures (compute, storage, messaging, IAM, observability, scaling patterns)Proven ownership of mission-critical systems, including design accountability, operational responsibility, and long-term maintainabilityStrong software engineering fundamentals: system design, service-level data modeling, API design, automated testing, CI/CD, and infrastructure as codeTrack record of influencing architecture and engineering outcomes across multiple teams without formal authorityExcellent written and verbal communication skills, with the ability to clearly articulate complex technical concepts to diverse audiencesPreferred QualificationsExperience building enterprise platform services consumed by many internal and/or external teamsFamiliarity with data engineering or data platform ecosystems (e.g., streaming pipelines, data warehouses such as Snowflake) as a producer or advanced consumer of data servicesExperience with event streaming and messaging platforms (e.g., Kafka, Kinesis, or equivalents)Background in domains such as master data management, identity resolution, data enrichment, or data qualityExperience integrating backend services with analytics, search/indexing, or ML/AI platformsPrior experience operating in large, complex organizations where systems span multiple teams, regions, and business unitsBenefitsFrom health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work.Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/Salary transparencySalary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $139,000 and $249,260. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.Equal Employment OpportunityAt Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.Diversity & BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belongingJ-18808-Ljbffr