Software Engineer, Cloud Observability Analytics Integrations
Google· enterprise· Internet & Cloud Services· Sep 18, 2026 · 1mo ago
Pittsburgh, PA, USA
In office
Full-time
Mid
$100K–$158K est.
2+ years exp
Job description
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a Software Engineer on the Cloud Observability Analytics team, you will build and support the backend infrastructure that makes our products intelligent. You will design and develop new integration pipelines to make trace and error log data more actionable for developers and AI agents across Google Cloud. In this role, you will define system components, influence the architecture of critical services, and develop deep expertise in core Google Cloud technologies.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Develop new features for the OA Integrations pipelines, Cloud Trace, and Cloud Error Reporting products and ensure our tools and products continue to remain in compliance with all Cloud horizontals.
• Collaborate with SRE to ensure we continue to provide our most important feature: reliability. You will also participate in the team's 24x7 production on-call rotation after ramping up on the team.
• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience with distributed processing and large-scale data processing.
Minimum qualifications:
• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience with distributed processing and large-scale data processing.
Preferred qualifications:
• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience programming in C++ programming language or 1 year with an advanced degree.
• 2 years of experience with data structures or algorithms.
• Experience developing accessible technologies.
• Experience with GCP Services like GCE, BigQuery, or Spanner.
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