11 months ago
Tel Aviv-Yafo, IsraelSenior
Responsibilities
- Own, enhance, and improve Finout’s core platform.
- Build and maintain systems for collecting and processing metrics from client environments.
- Improve system efficiency and resilient infrastructure.
- Integrate cloud providers and SaaS platforms such as Datadog and Snowflake into Finout’s big-data repository.
- Optimize Spark and Airflow processes.
- Contribute to data design and platform architecture while collaborating with business units and engineering teams.
- Test and monitor large-scale data pipelines.
Requirements
- 7+ years of experience developing and operating large-scale, high-availability systems.
- 7+ years of experience with Python.
- Experience with cloud environments, preferably AWS, and big-data technologies including Spark, Airflow, S3, Snowflake, and EMR.
- Experience with Go is a plus.
- Familiarity with metrics systems such as Prometheus and cloud monitoring APIs, or with time-series data, is a strong plus.
- Self-motivated, autodidactic team player with strong communication skills and a passion for solving challenges at scale.
Benefits
- Hybrid work arrangement.
- Opportunity to join a growing startup with teams across Tel Aviv and New York.
Tech Stack
Categories
BackendData Engineering
About Finout
Finout builds an all-in-one FinOps SaaS platform for cloud and AI cost visibility, allocation, and automated optimization, used by engineering, FinOps, and finance teams. It provides unit economics, governance, and AI-driven actions across AWS, Kubernetes, data warehouses, and AI workloads. Founded in 2021 and headquartered in Tel Aviv, the privately held company counts customers such as The New York Times, Lyft, Wiz, Elastic, and SiriusXM.