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Principal Software Engineer - Backend

Job in Elk Grove, Sacramento County, California, 95624, USA
Listing for: Autodesk
Full Time position
Listed on 2026-09-27
Job specializations:
  • Software Development
    Backend Developer, Software Architect, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 139000 - 249000 USD Yearly USD 139000.00 249000.00 YEAR
Job Description & How to Apply Below

California, USA - Remote

Full time

26WD97363

Job Requisition  #

26WD97363

Position Overview

We 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.

Responsibilities
  • Provideprincipal-level technical leadership across multiple backend and platform teams, shaping architecture and technical strategy beyond a single squad or service

  • Author and evolvecritical backend systems and APIs, ensuring they meet long-term scalability, reliability, and extensibility goals

  • Lead design of distributed, event-driven systems, addressing consistency, ordering, failure handling, replay, idempotency, rate limiting, and back pressure

  • Establish and drive service and API standards across domains, including schema design, versioning strategies, backward compatibility, and consumer experience

  • Act as a technical decision-maker for cross-team initiatives; evaluate tradeoffs and make durable architectural choices aligned with business priorities

  • Drive operational excellence across systems you influence:observability, alerting strategy, incident response, post-incident learning, and systemic remediation

  • Introduce and reinforceengineering best practices for design reviews, code quality, testing, CI/CD, and production readiness across multiple teams

  • Mentor senior engineers and emerging technical leaders;raise the bar through influence, example, and coaching rather than direct management

  • Partner deeply with product, data, and platform leaders to translate ambiguous business problems into clear, actionable technical solutions

  • Remain hands-on where impact is highest: complex system design, critical implementations, architectural refactors, and high-severity incident resolution

Minimum Qualifications
  • Bachelor’s or Master’s degree in Computer Science, a related technical field, or equivalent practical experience

  • 10+ years of professional software engineering experience, with significant depth in backend and distributed systems

  • Experience buildingenterprise platform servicesconsumed by many internal and/or external teams.

  • Python + AWS + API + backend services integration experience

  • Demonstratedexpertisebuilding and operatingbackend services and APIsin production environments at scale

  • Strong experience withdistributed systems design, including asynchronous processing, messaging, eventual consistency, and fault tolerance

  • Deep hands-on experience withAWSand cloud-native architectures (compute, storage, messaging, IAM, observability, scaling patterns)

  • Proven ownership ofmission-critical systems, including design accountability, operational responsibility, and long-term maintainability

  • Strong software engineering fundamentals: system design, service-level data modeling, API design, automated testing, CI/CD, and infrastructure ascode

  • Track recordof influencing architecture and engineering outcomes across…

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