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Member of Technical Staff, Infrastructure

micro1· Core team
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Remote$320k - $500kFull-timePosted yesterday

About the role

Senior, hands-on infrastructure role focused on reliability, scalability, and observability with AI-driven automation and agent-enabled operations for a remote-first data lab building AI models and agents.

Responsibilities

  • Build agentic infrastructure: Design and implement AI-powered workflows for infrastructure provisioning, deployments, monitoring, incident detection, and automated remediation.
  • Own reliability at scale: Architect resilient, secure, and scalable cloud infrastructure that supports rapidly evolving AI products and workloads.
  • Make systems observable: Build comprehensive logging, metrics, distributed tracing, and alerting systems that provide actionable visibility into production health.
  • Automate operational complexity: Eliminate repetitive infrastructure work through intelligent automation, self-service tooling, and agent-driven operations.
  • Own infrastructure lifecycle management: Drive cloud security hygiene, dependency upgrades, runtime migrations, and infrastructure modernization from design through production.
  • Improve developer velocity: Build infrastructure platforms and workflows that make deploying, debugging, and operating services effortless for engineers.
  • Raise the engineering bar: Mentor engineers, establish technical standards, and influence architectural decisions through hands-on technical leadership.

Qualifications

  • Staff-level engineering expertise with deep experience in Infrastructure, DevOps, Site Reliability Engineering, or Platform Engineering.
  • Strong hands-on experience operating production systems on major cloud platforms such as AWS, GCP, or Azure.
  • Expertise in infrastructure as code, container orchestration, CI/CD, networking, cloud security, and distributed systems.
  • Demonstrated experience designing observability and incident response systems for complex production environments.
  • Proven ownership of infrastructure migrations, security improvements, and reliability initiatives.
  • AI-native engineering habits: You already use AI coding agents extensively in your daily development workflow and have built automation that meaningfully reduces engineering toil.
  • Strong software engineering fundamentals and the ability to build internal tools, automation frameworks, and production-grade infrastructure services.
  • A track record of independently identifying systemic problems, designing solutions, and shipping them end to end.
  • Experience mentoring engineers and improving technical practices while remaining deeply involved in implementation.

Skills

Required:Staff-level infrastructure engineeringCloud platforms (AWS, GCP, Azure)Infrastructure as codeContainer orchestrationCI/CDNetworking & cloud securityObservability & incident responseAI-native engineeringMentoring & technical leadership

Benefits

  • up to 100% reimbursement for health-insurance premiums
  • paid time off
  • 401(K) plan with a company match
  • additional benefits designed to support a high-performing, remote-first workforce
Last updated Oct 25, 2026. Interested? Apply on the company site.

About micro1

Data lab to train frontier models & evaluate agents

We’re building the infrastructure for advancing intelligence through expert human data, real-world training environments, and contextual evaluations.

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