Principal Backend Software Developer

• →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 AI-assisted development tools responsibly to improve engineering velocity, code quality, testing, documentation, and operational readiness.
• →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.
• →Improve engineering practices across the team, including testing strategy, release safety, deployment automation, security posture, and production support.
• →Mentor senior and mid-level engineers, helping the team make better architectural decisions and operate more effectively.

• Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
• 8+ years of professional software engineering experience.
• 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, Fargate, ECS, SQS, SNS,
• DynamoDB, Aurora, API Gateway, CloudWatch, 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.

• 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 Streaming, SQS, 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.

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