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Quantcast
Posted 47 days agoVerified live 2d ago

Software Engineer (Cloud Infrastructure)

Brief overview

Remote
UndergradOr in progress
$138k–$162k/yrStated range
23 H-1B approvalsDept. of Labor
9 green cardsCertified filings
PythonGoJavaAWSMicrosoft AzureGoogle CloudDockerKubernetesTerraformLLM Model APIsModel InferenceLinux

About the company

Quantcast logo
Quantcastquantcast.com

Quantcast helps create a more personalized digital world.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
23H-1B approved
96%approval rate
3new H-1B hires
9PERM certified
$185,400median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20236
20249
20256
20262
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20231
20242
20253
20261
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20236
20241
20251
20261
Top sponsored roles
Senior Manager, EngineeringData EngineerSenior Systems Engineer, Common Tools and ServicesSoftware EngineerStaff Software Engineer
Sponsored employees from
IndiaChinaSouth Korea

Job description

Summary

Quantcast is an advertising technology company that develops AI-powered platforms for digital advertising. The Software Engineer will join the Cloud Infrastructure team to build and automate reliable, scalable, and secure cloud foundations, internal tools, and infrastructure supporting engineering and customer-facing systems.

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

Skills

  • • 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
  • • Interest in LLM-enabled coding tools, model APIs, or inference systems
  • • Strong problem-solving and debugging skills
  • • Organized, collaborative, and eager to learn
  • • Familiarity with automation or infrastructure-as-code tools such as Terraform is a plus
  • • Linux, networking, identity, or security fundamentals are a plus

Qualifications

Must Haves

  • • 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
  • • Interest in LLM-enabled coding tools, model APIs, or inference systems
  • • Strong problem-solving and debugging skills
  • • Organized, collaborative, and eager to learn

Nice to Haves

  • • Familiarity with automation or infrastructure-as-code tools such as Terraform is a plus
  • • Linux, networking, identity, or security fundamentals are a plus

Benefits

  • Performance bonus
  • Equity
  • A comprehensive benefits package

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