46 минут назад
Staff and Principal Software Engineers
220 000 - 290 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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