About the job
In today's digital landscape, managing cloud expenses is crucial.
At Finout, we empower businesses to gain insights into their cloud spending, enabling them to make informed, strategic decisions swiftly. Our innovative solutions are trusted by industry leaders such as The New York Times, Wiz, Elastic, SiriusXM, and Lyft. With over $85 million raised from top-tier investors, we've expanded to a dynamic team of over 100 professionals in Tel Aviv and New York in just four years—and we're just getting started.
If you're passionate about building impactful solutions, tackling real-world challenges, and thriving in a fast-paced environment, we want to hear from you!
Key Responsibilities:
Take ownership of enhancing and improving Finout’s core platform.
Develop and maintain systems for collecting and processing metrics from client environments.
Ensure system efficiency and maintain resilient infrastructure.
Integrate popular SaaS platforms into Finout’s big data repository, including major cloud providers, Datadog, and Snowflake.
Optimize Spark and Airflow processes for enhanced performance.
Collaborate with various business units and engineering teams to contribute to data design and platform architecture.
Address the challenges of testing and monitoring large-scale data pipelines.
Qualifications:
7+ years of experience in developing and managing large-scale, high-availability systems.
Proficiency in Python (knowledge of Go is advantageous).
Experience with cloud environments (preferably AWS) and big data technologies such as Spark, Airflow, S3, Snowflake, and EMR.
Familiarity with metrics systems (e.g., Prometheus, cloud monitoring APIs) or time-series data is a significant plus.
Self-motivated team player with excellent communication skills and a strong drive to solve large-scale challenges.
Our Values

As a hybrid company with a grand vision and a startup spirit, we are excited to build the future of cloud infrastructure. If you share our passion for what we build and how we do it, let's connect!

