Software Engineer, Quantcast
Big Data
$144.9-168.4k
+ This position includes a performance bonus, equity
More information about location
Audience insights & real-time advertising
Be an early applicant
Audience insights & real-time advertising
201-500 employees
Be an early applicant
$144.9-168.4k
+ This position includes a performance bonus, equity
More information about location
201-500 employees
Company mission
To radically simplify open internet advertising.
Role
Who you are
- BS in computer science or equivalent experience
- 1-3 years of professional software engineering experience (internships included)
- You must be work-authorized in the United States without the need for employer sponsorship
- This is a hybrid role based in our San Francisco. To ensure a manageable commute for in-office days, candidates must reside within a 60-mile radius of San Francisco, CA. No relocation candidates at this time
- Familiarity with data processing frameworks such as Apache Spark, Hadoop, or similar
- Familiarity with containerization tools (e.g., Docker and Kubernetes)
- Experience with workflow orchestration tools (e.g., Airflow) is a plus
- Proficient in Java and/or Python programming languages
- Linux system administration/automation experience
- Strong problem-solving and debugging skills
- Organized, detail-oriented personality
What the job involves
- We are seeking a Software Engineer to join our Big Data Services team. This role focuses on building, maintaining, and optimizing large-scale data processing systems while supporting the needs of our data science and engineering teams
- You will work closely with engineers, data scientists, and researchers to ensure a reliable, scalable, and efficient data infrastructure that powers advanced analytics and modeling workflows.
- The primary focus of the team is driving and developing systems and services that enable Quantcast to scale its distributed storage and compute platform. The ideal candidate has a passion for large-scale distributed systems (e.g., HDFS and Spark)
- Contribute to the development and optimization of large-scale data workflows using technologies such as Apache Spark or similar frameworks
- Debug and resolve issues in distributed environments, including data inconsistencies and job failures
- Maintain and enhance the services that support the distributed storage and compute platform
- Assist in deploying and maintaining production systems, including CI/CD workflows
- Work to make our platform more elastic and fault-tolerant
- Provide technical input into roadmaps for the team
- Write clean, maintainable, and well-tested code
- What you'll learn in this role:
- Hands-on experience with large-scale distributed systems in production
- Exposure to real-world data science and modeling workflows
- Best practices in building scalable and reliable data infrastructure
- Collaboration across engineering and modeling teams
Our take
Third-party cookies are on the out following Google’s announcement they will no longer be allowed on Chrome. This has dealt a blow to advertisers, who are now looking for alternative ways of targeting potential customers. Quantcast is one of the companies offering a promising alternative, using AI-driven technology to facilitate advertising based on internet traffic.
This has given Quantcast a new and unexpected injection of interest. Moreover, this long run-up has given them time to develop a product with unparalleled data accuracy and a rich raft of features that puts it head-to-head with Google Analytics.
They are also ahead of the pack in adopting a privacy-first approach, including the appointment of new Chief Privacy Officer Min-Jae Lee. With privacy regulations currently disjointed but developing fast, this appointment will help Quantcast stay a leading and trusted organization in the field.
The company was boosted by an acquisition in 2023 from mobile-first tech giant InMobi. Since then, the company has remained focused on the development and launch of new leading AI-driven products. If Quantcast can continue to deliver innovative capabilities, and inspire client confidence with its regulatory compliance, it is well insulated against the sector-wide changes anticipated over the years ahead.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-20% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Nov 2011
$8m
SERIES C
Jan 2010
$31.6m
SERIES C
Total funding: $65.3m
Company benefits
- Comprehensive healthcare benefits
- Generous vacation & time off policies
- Hybrid working from anywhere weeks (WFA)
- Mobile phone benefits
- Group life insurance & income protection
- Retirement savings plans
- Mental wellbeing support program
- Wellbeing program including resources and events
- Learning + development opportunities
- Referral bonus program
- Stock/share option grants
- Catered lunches & stocked kitchens
- Commuter benefits
- Employee discounts platform
- Employee discounts platform
- Parental benefits
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Konrad Feldman
(Co-Founder & CEO)Prior to co-founding Quantcast, Feldman co-founded Searchspace (now Fortent). Prior to Searchspace, Feldman was a Research Fellow in the Intelligent Systems Laboratory at University College London.
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