Qualifications
Responsibilities:Take ownership of enhancing and optimizing Finout's core platformEnhance system efficiency and build resilient infrastructureIntegrate major SaaS platforms with Finout's big data ecosystem, including leading cloud providers, DataDog, and SnowflakeOptimize data processing workflows using Spark and AirflowCollaborate on data architecture and platform design with cross-functional teamsAddress challenges related to testing and monitoring large-scale data pipelinesRequirements:7+ years of experience in developing and managing large-scale systems with high availability7+ years of experience with Python or similar programming languagesProficiency in cloud environments (AWS preferred) and big data technologies (Spark, Airflow, S3, Snowflake, EMR)Self-motivated and proactive team player with strong communication skills, eager to tackle the challenges of working with large-scale data
About the job
In today's landscape, cloud computing represents a significant business cost and can be challenging to manage effectively.
At Finout, we empower organizations to gain deeper insights into their cloud expenditures, enabling them to make informed, rapid, and strategic decisions.
We are proud to serve esteemed clients such as The New York Times, Wiz, Elastic, SiriusXM, and Lyft, supported by premier investors with over $85 million raised. Over the past four years, we have expanded to a team of over 100 professionals across Tel Aviv and New York, and this is just the beginning.
If you are passionate about building impactful solutions, solving real-world problems, and accelerating growth, we would love to connect with you.
About Finout
Finout is a cutting-edge company addressing the complexities of cloud expenditure management. We are on a mission to revolutionize how businesses leverage cloud services, ensuring they can make informed and strategic financial decisions. With a strong foundation and a rapidly growing team, we are shaping the future of cloud infrastructure.