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Staff Site Reliability Engineer, AQI Data SRE

Google
Pittsburgh, USA
Senior · 8+ years experience
Onsite
USD 207000-300000 / year
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Responsibilities

  • Define the technical goal, architectural roadmap, and reliability strategy for AQI Data SRE across the SAGE/SPARK production stack.
  • Partner with dev leadership to lead system design reviews, drive backend simplification and resource isolation, and ensure production readiness for flagship Ads launches.
  • Architect and lead the implementation of critical infrastructure projects, including data-pipeline resilience, automated rollback/restart platforms, and consolidated observability.
  • Mentor and grow engineers on the team, and push for software engineering excellence, AI-first tooling, and SRE best practices; drive the operational maturity handover that helps partner dev teams mature.
  • Lead the response to complex production incidents, correlate production signals with customer and business impact, and drive high-impact post-incident architectural improvements and blameless postmortems and participate in a healthy tier 2 oncall rotation for core shared SAGE/SPARK infrastructure.

Minimum qualifications:

  • Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages.
  • 3 years of experience leading projects.
  • 3 years of experience designing, analyzing, and troubleshooting distributed systems.
  • Experience with large-scale data processing.

Preferred qualifications:

  • Master's degree in Computer Science or Engineering.
  • Experience in distributed, real-time systems and high-throughput data pipelines.
  • Knowledge or experience with agentic flows/development and with AI-assisted production/reliability tooling.
  • Excellent collaboration skills, with a track record of building trusted, blameless partnerships with development teams.
  • Excellent non-abstract large systems design skills, with experience building scalable, self-service reliability and observability.
  • Proven track record of driving cross-functional architectural alignment and influencing technical decisions across large engineering organizations.

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