обновлено 2 дня назад
Principal Software Engineer - Backend
139 000 - 249 260$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Software Engineer - Backend (Python/AWS): Building and evolving scalable backend services, APIs, and event-driven distributed systems for Autodesk’s enterprise data services with an accent on reliability, extensibility, and cross-team architecture. Focus on designing systems for consistency, ordering, failure handling, replay, idempotency, observability, and high-severity incident resolution.
Location: California, USA — Remote
Salary: $139,000–$249,260 base salary annually; offers may exceed this range and may include bonuses, stock grants, and benefits.
Company
develops software that helps innovators design and make buildings, products, factories, and entertainment.
What you will do
- Provide principal-level technical leadership across backend and platform teams, shaping architecture and technical strategy.
- Design, author, and evolve scalable enterprise backend systems, APIs, and event-driven distributed services.
- Establish service and API standards covering schemas, versioning, backward compatibility, and consumer experience.
- Drive operational excellence through observability, alerting, incident response, post-incident learning, and systemic remediation.
- Influence design reviews, code quality, automated testing, CI/CD, and production readiness across multiple teams.
- Mentor senior engineers and partner with product, data, and platform leaders while remaining hands-on with complex designs, implementations, refactors, and incidents.
Requirements
- Bachelor’s or Master’s degree in Computer Science or a related technical field, or equivalent practical experience.
- 10+ years of professional software engineering experience with significant depth in backend and distributed systems.
- Hands-on experience with Python, AWS, API integration, and backend services in production environments at scale.
- Strong knowledge of asynchronous processing, messaging, eventual consistency, fault tolerance, and cloud-native architectures.
- Experience with system design, data modeling, API design, automated testing, CI/CD, and infrastructure as code.
- Ability to influence architecture across multiple teams without formal authority and communicate complex technical concepts clearly.
Nice to have
- Experience with data engineering or data platform ecosystems, streaming pipelines, and data warehouses such as Snowflake.
- Experience with Kafka, Kinesis, or equivalent event-streaming and messaging platforms.
- Background in master data management, identity resolution, data enrichment, or data quality.
- Experience integrating backend services with analytics, search/indexing, or ML/AI platforms.
- Experience working in large organizations whose systems span multiple teams, regions, and business units.
Culture & Benefits
- Health, financial, time-away, and everyday wellness benefits for U.S.-based employees.
- Inclusive workplace focused on diversity, belonging, and meaningful work.
- In-person onboarding and/or identity verification may be required.
- Compensation may include annual cash bonuses, stock grants, and a comprehensive benefits package.
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