25 минут 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 (AWS/distributed systems): Designing and evolving scalable backend services, APIs, and event-driven systems for Autodesk’s enterprise data services with an accent on distributed systems, reliability, and long-term architecture. Focus on solving consistency, ordering, failure handling, replay, idempotency, rate limiting, and backpressure challenges while driving cross-team standards and operational excellence.
Location: California, USA — Remote
Salary: $139,000–$249,260 annually base salary for U.S.-based roles; offers may exceed this range.
Company
develops software that helps innovators design and make buildings, cars, factories, films, and other products.
What you will do
- Provide principal-level technical leadership across backend and platform teams, shaping architecture and technical strategy.
- Design, build, and evolve scalable backend systems, APIs, and distributed event-driven services.
- Address consistency, ordering, failure handling, replay, idempotency, rate limiting, and backpressure.
- Establish service and API standards covering schema design, versioning, compatibility, and consumer experience.
- Drive observability, alerting, incident response, production readiness, testing, CI/CD, and systemic remediation.
- Mentor senior engineers and technical leaders while partnering with product, data, and platform leaders on complex solutions.
Requirements
- 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 substantial backend and distributed systems expertise.
- Experience building and operating production backend services and APIs at scale.
- Strong knowledge of asynchronous processing, messaging, eventual consistency, and fault tolerance.
- Hands-on experience with AWS cloud-native architectures, including compute, storage, messaging, IAM, observability, and scaling.
- Expertise in system design, data modeling, API design, automated testing, CI/CD, infrastructure as code, and cross-team technical influence.
Nice to have
- Experience with enterprise platform services, data engineering ecosystems, streaming pipelines, or 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 spanning multiple teams, regions, and business units.
Culture & Benefits
- Health, financial, time-away, and wellness benefits are available for U.S.-based employees.
- The role may require in-person onboarding and/or in-person identity verification.
- Work in an inclusive culture focused on belonging and equal employment opportunity.
- Compensation may include annual cash bonuses, stock grants, and a comprehensive benefits package.
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