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People In AI
People In AI

Staff Software Engineer

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Staff

Tech stacks

Cloud
Infrastructure
Data
+31

Visa

U.S. visa required

Permanent role
2 days ago
Apply now

Staff Cloud & Data Infrastructure Engineer

US Remote

$180,000-$200,000 + Meaningful Equity + Benefits

My client is a well-funded, early-stage startup building cloud and data infrastructure from the ground up. Their systems support high-throughput services, real-time analytics, and developer-facing platforms. We're assembling a small, high-caliber engineering team and are looking for a Staff Engineer with deep backend experience, strong infrastructure instincts, and a pragmatic, hands-on mindset.

What You'll Do:

  • Architect and manage secure, scalable cloud infrastructure using infrastructure-as-code (Terraform or equivalent) and modern CI/CD practices.
  • Build and maintain data pipelines and workflow orchestration systems (e.g., Airflow, Temporal) to support internal analytics and platform features.
  • Drive backend system design and implementation, with a focus on performance, observability, and cost efficiency.
  • Contribute to internal frameworks and tooling that improve developer productivity and reliability across services.
  • Lead technical scoping, prioritization, and execution for cross-functional initiatives.
  • Proactively identify infrastructure risks and scaling bottlenecks and lead efforts to address them.

What We're Looking For:

  • Proficiency in Python as a primary language, with experience writing clean, maintainable, production-grade code.
  • Deep experience with cloud infrastructure (e.g., AWS, GCP, or similar), including compute, networking, IAM, and monitoring.
  • Strong background in infrastructure automation and DevOps tooling—Terraform, CI/CD pipelines, Docker, and Kubernetes.
  • Experience designing and operating data pipelines and supporting tools for data movement, orchestration, and monitoring.
  • A systems mindset: you think about reliability, scalability, and ownership at every stage of development.
  • Proven ability to lead and execute complex projects with minimal oversight, ideally in startup or high-growth environments.

Nice to Have:

  • Familiarity with multi-cloud environments or hybrid deployments.
  • Exposure to data transformation tools like dbt, Spark, or similar.
  • Prior experience working on internal platforms or developer tools.

This is an opportunity to have meaningful architectural impact, shape foundational systems, and work closely with an exceptional team during a formative stage. If you're excited about designing and building high-leverage infrastructure with modern tools and clear ownership—we’d love to talk.

This is a confidential search for a stealth-stage project. More details will be shared during the interview process.

About People In AI

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