---
title: 'Software Engineer (Cloud Infrastructure) at Quantcast'
canonical: 'https://feeny.ai/job/software-engineer-cloud-infrastructure-quantcast-seattle-wgkekcccqgre'
type: 'job'
last_seen: '2026-09-06'
---

# Software Engineer (Cloud Infrastructure) at Quantcast

- **Company:** Quantcast
- **Location:** Seattle, WA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-18
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/quantcast/18213524-c947-4be3-b728-497f23dcd5cf

## Job description

At Quantcast, we don't just build advertising technology, we revolutionize how it works. Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audiences across the open internet, delivering results that actually move the needle. Since 2006, we've been the industry's trailblazer, launching the first AI-powered measurement platform for publishers and the first AI-driven DSP. Our AI doesn't just optimize—it delivers the measurable outcomes that matter most to our clients, giving them the competitive edge they need in a crowded marketplace. Ready to join the team that's defining the future of digital advertising?

We are seeking a Software Engineer to join our Cloud Infrastructure team. This role focuses on building and automating cloud foundations that help engineering teams deliver software safely and efficiently.

You will work closely with software and systems engineers to create reliable, scalable, and secure infrastructure supporting internal and customer-facing systems.

The team develops and operates the cloud platforms, automation, and controls that enable Quantcast engineers to build and run software at scale. A curious new graduate who enjoys solving practical problems, learning how systems work, and turning repetitive work into reliable automation will thrive here.

What you'll do:

- Contribute to cloud services, internal tools, and automation used by engineering teams.
- Develop and operate cloud infrastructure, improving its reliability, security, and scalability.
- Explore and help evaluate emerging cloud, AI, and model-inference technologies, and share useful findings with engineering teams.
- Build automation that reduces manual work and makes infrastructure configuration safer and more consistent.
- Help support cloud environments for LLM-powered developer tools and model inference workloads.
- Write clean, maintainable, and well-tested code, and provide input into the team's roadmap.

Who you are:

- Recent graduate (0-1 years) with a Bachelor's Degree in computer science or equivalent experience.
- You must be work-authorized in the United States without the need for current or future employer sponsorship. We are not currently able to engage candidates on OPT.
- You must currently be based in the greater Seattle area, as part of the interview process will be in-person at our Seattle office.
- Strong programming foundations in Python, Go, Java, or a similar language.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with containerization tools such as Docker and Kubernetes.
- Familiarity with automation or infrastructure-as-code tools such as Terraform is a plus.
- Interest in LLM-enabled coding tools, model APIs, or inference systems.
- Linux, networking, identity, or security fundamentals are a plus.
- Strong problem-solving and debugging skills.
- Organized, collaborative, and eager to learn.

What you'll learn in this role:

- Hands-on experience with production cloud infrastructure and automation
- Best practices for containers, cloud reliability, security, and cost management
- How cloud infrastructure supports LLM applications and inference workloads at scale
- Collaboration across software engineering, systems engineering, and platform teams

At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. On top of a competitive salary, this position includes a performance bonus, equity, and a comprehensive benefits package. For more details, visit our Careers Page https://www.quantcast.com/careers/ and see how we support our team. We are headquartered in San Francisco with offices around the world. Quantcast is an Equal Opportunity Employer. Please see the Applicant Privacy Notice https://legal.quantcast.com/#applicant-privacy-notice for details on our applicant privacy policy. Join the team that unlocks potential.

## About Quantcast

## Company Overview
- **One-liner**: Quantcast is an AI-powered advertising technology platform that helps brands and agencies reach audiences through a demand-side platform (DSP) using real-time data and machine learning.
- **Entity Type**: Private (Acquired by InMobi Pte. Ltd.; last reported funding Series C)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2006
- **Founders**: Konrad Feldman (CEO)

## Core Business
- Primary industry/industries: Advertising Technology (AdTech), Digital Media, Programmatic Advertising
- Target customers: B2B — brands, agencies, and publishers (enterprise and SMB)
- Mission or purpose statement: To level the playing field so everyone benefits from a free and open internet; to simplify digital advertising by connecting brands to their audiences with AI-powered insights and measurement.

## Products & Services
- **Quantcast Platform (DSP)**: A self-serve demand-side platform that uses AI to plan, activate, measure, and optimize programmatic advertising campaigns across display, video, mobile, and connected TV.
- **Quantcast Measure**: A free audience measurement tool for publishers (used by 100 million global web destinations daily) that provides real-time, first-party data insights using machine learning.
- **Quantcast Advertise**: A managed-service offering that leverages predictive models and first-party data for cookieless, addressable advertising.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed as a private company.
- **Key Metric**: Annual Revenue of $313.3 million; Total Funding of $65.3 million.
- **Notable Investors/Partners**: Founders Fund, Polaris Partners, Cisco. Parent company: InMobi Pte. Ltd. Key partners and customers include major agencies and brands, along with publishers across 100M+ global web destinations.
- **Growth Signals**: Headcount of 410 employees (+15.4% YoY); active job postings increasing +90.9% yearly; operates in 19 countries with offices across 10 countries (US, Canada, UK, Ireland, France, Germany, Italy, Sweden, Australia, Singapore, India). Named a Leader in G2’s Demand-Side Platform Category.

## Competitive Advantages
- **Proprietary Audience Graph & AI**: Built on two decades of data intelligence, making billions of decisions per second to identify high-converting audiences without relying on third-party cookies.
- **First-Mover in Cookieless Advertising**: The first managed-service DSP to use predictive models independent of third-party data, providing a future-proof solution for advertisers.
- **Unified Platform**: End-to-end workflow from planning and activation to measurement and reporting, all under one easy-to-use interface.

## Strategic Focus
- Expanding autonomous advertising capabilities with Q+ (AI-driven campaign performance).
- Deepening first-party data and cookieless addressability solutions to stay ahead of industry privacy changes.
- Continuing global expansion and headcount growth across engineering, sales, and marketing teams.

## Why Work Here
- **Culture**: Emphasizes "Own it" (responsibility, integrity, inclusion) and "Velocity" (ruthless prioritization, fast execution, valuing results over effort). Founder-led and diverse organization with offices across 10 countries.
- **Work Policy**: Hybrid model for most roles, with some on-site positions at HQ (San Francisco). Offers "Working From Anywhere" (WFA) weeks and flexible remote options.
- **Notable Perks**: Comprehensive healthcare, generous vacation/time off, hybrid WFA weeks, mental wellbeing support, stock/share option grants, catered lunches and stocked kitchens, commuter benefits, learning & development opportunities, global mentorship program, employee resource groups, parental benefits, and mobile phone benefits.
- **Tech Stack**: Python, Scala, Go, Java, Ruby, C++, SQL, PostgreSQL, Redis, React, Kafka, Spark, Salesforce, Marketo, JIRA, Wrike.

## Sources
1. [Quantcast.com](https://www.quantcast.com/)
2. [Quantcast - About Us](https://www.quantcast.com/about-us/)
3. [Quantcast - Careers](https://www.quantcast.com/careers/)
4. [LinkedIn - Quantcast](https://www.linkedin.com/company/quantcast)
5. [Built In - Quantcast](https://builtin.com/company/quantcast)
6. [Quantcast Jobs (Ashby)](https://jobs.ashbyhq.com/quantcast)

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