Software Engineer (Cloud Infrastructure)

About the role

Quantcast is 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.

Responsibilities

• 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.

Requirements

• Recent graduate (0-1 years) with a Bachelor's Degree in computer science or equivalent experience.
• Work-authorized in the United States without the need for current or future employer sponsorship.
• Currently 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

• 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.

Benefits

This position includes a performance bonus, equity, and a comprehensive benefits package.

Pay

Compensation Range: $138.5K - $162K