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46 минут назад

Staff and Principal Software Engineers

220 000 - 290 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Staff and Principal Software Engineers (AI cost intelligence and cloud data infrastructure): Building scalable backend systems, data pipelines, query infrastructure, telemetry agents, and customer-facing cost intelligence features with an accent on distributed systems, cloud data platforms, and AI workload economics. Focus on designing high-scale architectures, processing complex billing and telemetry data, improving reliability, and delivering systems adopted by customers and internal teams.

Location: Hybrid in San Francisco, CA or Boston, MA

Salary: $220,000–$290,000 per year, plus equity and bonus

Company

hirify.global develops an AI cost intelligence platform that connects enterprise AI and cloud spending with business outcomes.

What you will do

  • Own significant technical domains end to end, including architecture, implementation, and long-term system health.
  • Design and operate scalable backend systems, data pipelines, storage, and query infrastructure.
  • Build AI telemetry agents, Kubernetes metric agents, billing connectors, and AI data ingestion pipelines.
  • Develop customer-facing cost intelligence, identity, authentication, optimization, anomaly detection, and notification features.
  • Make high-impact technical decisions and collaborate with product, engineering leadership, customers, and stakeholders.
  • Improve performance, scalability, and reliability while mentoring engineers through reviews and design feedback.

Requirements

  • Significant experience building and operating production backend systems at scale.
  • Strong proficiency in Python and/or another backend language, with the ability to reason about unfamiliar systems.
  • Deep familiarity with cloud infrastructure, preferably AWS, distributed systems, and scalability tradeoffs.
  • Production experience with data pipelines, ETL frameworks, or stream processing.
  • Strong SQL skills and hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Databricks.
  • Hands-on use of AI tools in data platform work, experience building reusable systems adopted by internal teams, and a track record of shipping.

Nice to have

  • Experience with agents, telemetry systems, or observability tooling.
  • Familiarity with Kubernetes in customer-managed environments.
  • Experience with AWS Step Functions, Lambda, or event-driven architectures.
  • Background in FinOps, billing systems, financial data infrastructure, ML pipelines, or AI workload cost modeling.

Culture & Benefits

  • Collaborative, fast-moving environment focused on ownership, creativity, and curiosity.
  • Direct impact on complex cloud and AI cost challenges.
  • Equity and performance bonus included in the compensation package.
  • Opportunity to work with large-scale production systems and cutting-edge AI cost intelligence technology.

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