Senior Software Engineer - Cloud Infrastructure

About Moloco: 

Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad-targeting utilizing data— the same robust performance powered by machine learning has previously been unavailable beyond their platforms. 

That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while allowing companies to stay independent and scale.

An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked #95 in the Inc. 5000 fastest-growing private companies for 2022. We ranked #91 among Deloitte’s 2021 Fast 500 and have been certified by 91% of the company via Great Places to Work. Check us out on Glassdoor and be sure to get an inside look at working at Moloco on Instagram, Twitter, and Youtube. 

Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, and Tokyo. 

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component to how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging will allow us the greatest opportunity to carry out our mission -- to empower businesses of all sizes to grow through operational machine learning.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

About the Role

Moloco is a machine learning company operating at massive scale (we ingest 10 petabytes of training data per day) and our models are blazingly fast (returning predictions in 10 milliseconds or less); and a profitable unicorn (we're valued at $2B & been profitable for the last 13+ quarters). 

On the cloud infrastructure team, you’ll be owning near-real-time big data processing. This team provides cloud infra platforms, tooling, and processes that enable cloud infra producers and consumers in the Demand Side Platform (DSP) team to build new DSP features, solutions, and data rapidly and at greater scale.

What you'll do

• Solve large-scale problems -- Moloco spends ~$XXXM on cloud infra services annually. We're looking for an experienced engineer to look for opportunities to reduce cost. 
• Build and Onboard Value-Add Cloud Infra Platforms, both in-house developed and fully-managed by third party vendors, which augment and fill gaps in services provided by public clouds (for example Kafka, Pinot, Airflow, etc).
• Optimize the Cloud Infra Platform for performance, scalability, availability, stability to minimize cost of ownership to Moloco.
• Optimize traffic serving and data processing pipelines with different goals including latency, cost, and throughput.
• Turn unstructured logs, messages, and events into structured data that can be utilized for analytics, machine learning, and more.

What you'll need to succeed

• BS in Computer Science or related fields (MS strongly preferred)
• 7+ years of hands-on experience in software engineering
• Infrastructure platform and/or cost work experience
• Extensive experience working at scale (our data pipeline ingests 10 petabytes of new data per day, retraining 1,000 ML models every day, we serve hundreds of billions of requests per day)
• Excellent software development skills and fluency in at least one programming language (preferably Java, Go, or Python)
• Outstanding problem-solving skills
• Bias for action; ability to inspire a team
• Experience in Cloud/Big Data platforms (e.g., AWS, GCP, Beam, Spark, etc.) 
• Experience in distributed computing / cloud computing / high performance computing