6 дней назад
Sr. Principal Engineer (Software Application Architecture)
257 740 - 363 860$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Principal Engineer (Software Application Architecture): Designing and leading an end-to-end telemetry platform from field data collection through data lakes to reliability insights, with an accent on scalable, secure, and resilient architecture. Focus on crash analytics, failure classification, predictive quality modeling, and telemetry ingestion across millions of endpoints.
Location: Hillsboro, Oregon, United States; hybrid work model with time split between the assigned site and off-site work.
Annual salary: $257,740–$363,860 USD
Company
's Software group develops software technologies that complement and enhance hardware solutions across client, cloud, and enterprise domains.
What you will do
- Own the end-to-end telemetry platform architecture, from field and validation data collection through data lakes and insights delivery.
- Drive crash analytics and reliability modeling to improve root cause analysis, failure de-duplication, and product quality.
- Scale ingestion and analysis across millions of endpoints and thousands of data points.
- Partner with product architecture, validation, quality, OEM, Microsoft, and customer-enabling teams to turn telemetry into business actions.
- Define engineering standards, tooling, validation processes, metrics, and predictive models.
- Lead scalable and secure in-field and application telemetry solutions and mentor engineering teams.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or a related field with 12+ years of experience; or Master's with 8+ years; or PhD with 6+ years.
- 10+ years of experience building field telemetry and data collection systems at scale.
- Deep knowledge of client platform architecture and Windows and Linux OS internals, including BSOD, live kernel dumps, machine checks, and event logs.
- Strong software architecture experience covering scalability, security, resiliency, high-volume ingestion, storage, and analysis pipelines.
- Hands-on experience with data lakes, analytics stacks, Snowflake, Databricks, cloud services, and machine learning for failure classification, anomaly detection, de-duplication, and predictive quality trending.
- Demonstrated technical leadership, cross-functional influence, strong communication, conference presentation, and standards committee experience.
Culture & Benefits
- Full-time employment with a hybrid work model.
- Competitive pay, stock bonuses, health benefits, retirement benefits, and vacation.
- The role is a Position of Trust and requires consent to and successful completion of an extended background investigation.
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