Principal Software Developer

Autodesk•Atlanta, GA

2d•CA$153,000 - CA$224,400

About The Position

Autodesk is transforming how customers access, consume, and pay for the products that help them design and make the world around us. We are building a next-generation usage-based billing platform that will power Autodesk’s consumption-based business model at global scale. We are looking for a Principal Software Engineer to help lead the architecture, execution, and operational excellence of this platform. This is a senior individual contributor role for an engineer who has built and operated distributed systems in production, understands the trade-offs behind scalable architecture, and wants to solve business-critical problems with deep technical rigor. 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. This is not a narrow feature-delivery role. It is an opportunity to shape a foundational commerce platform for Autodesk, raise the engineering bar, and help build systems where correctness, reliability, latency, cost efficiency, and operability all matter.

Requirements

Bachelor’s degree in computer science, Engineering, a related technical field, or equivalent practical experience.
8+ years of professional software engineering experience.
Experience with AI Agent tools & frameworks
Experience building and integrating MCP tools
Experience building Agentic experiences and AI Automation
Strong backend engineering experience building and operating production services at scale.
Deep experience with distributed systems, microservices, event-driven architecture, real-time or near-real-time data processing, and cloud-native design.
Proficiency in one or more backend languages such as Java, Python, Go, Kotlin, or similar.
Hands-on experience with AWS services such as Lambda, ECS, SQS, SNS, DynamoDB, Aurora, API Gateway, Athena or related cloud technologies.
Proven ability to design systems for high availability, low latency, fault tolerance, data consistency, and multi-region resilience.
Experience owning production systems, including observability, incident response, root-cause analysis, and reliability improvements.
Strong technical judgment and ability to make pragmatic trade-offs across architecture, delivery speed, operational risk, cost, and long-term maintainability.
Excellent communication skills, with the ability to influence technical and non-technical stakeholders across teams.
Demonstrated ability to mentor engineers and act as a technical multiplier.

Nice To Haves

Experience building billing, payments, metering, usage, commerce, financial systems, or other correctness-critical platforms.
Experience with high-throughput streaming or messaging systems such as Kafka, Kinesis, Flink, Spark, Apache Pinot or similar.
Experience designing idempotent, auditable, and eventually consistent systems.
Experience with data modeling for transactional, analytical, and event-sourced systems.
Experience with infrastructure as code, CI/CD, automated testing, progressive delivery, and deployment safety.
Experience leading large technical initiatives across multiple teams or organizations.
Experience migrating legacy systems to modern cloud-native platforms.
Background in cost optimization for large-scale cloud systems.

Responsibilities

Lead the architecture, design, and implementation of secure, scalable, maintainable backend systems for Autodesk’s global usage-based billing platform.
Build and optimize distributed services, event-driven workflows, APIs, and data-processing pipelines that support real-time usage capture, rating, billing, reconciliation, and downstream integrations.
Write high-quality, secure, testable production code in Java, Python, Go, or similar languages.
Use coding agents and AI-assisted across design, implementation, testing, documentation, migration, and operational workflows.
Own critical service-level outcomes, including SLOs, SLIs, observability, alerting, resilience, incident readiness, and post-incident improvements.
Drive technical design reviews, code reviews, architecture documents, and operational readiness reviews.
Identify and resolve complex performance, scalability, correctness, reliability, and cost-efficiency challenges.
Partner with product managers, engineering managers, architects, finance systems, commerce teams, and other platform teams to translate business goals into durable technical solutions.
Contribute to the technical roadmap, including platform modernization, technical debt reduction, migration strategy, and long-term architectural direction.
Mentor senior and mid-level engineers, helping the team make better architectural decisions and operate more effectively.
Share effective patterns and help other engineers develop strong judgment about when and when not to use AI.