Software Engineer, Observability
Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses.
What this role actually needs.
Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. Responsibilities: - Own core observability infrastructure, including distributed logging, time series, and trace storage - Build AI-native tools that help engineers detect, understand, and resolve issues autonomously. - Contribute to UI experiences like dashboards, notebooking, or interactive debugging - Collaborate closely with engineers, researchers, user ops, and other teams across the company to build the next generation observability product - Have operated large-scale distributed systems in production. ( especially logging systems or some other time series databases) - Thrive in ambiguous environments and roll up your sleeves to solve unscoped problems. Benefits: - Own core observability infrastructure, including distributed logging, time series, and trace storage - Build AI-native tools that help engineers detect, understand, and resolve issues autonomously. - Contribute to UI experiences like dashboards, notebooking, or interactive debugging - Collaborate closely with engineers, researchers, user ops, and other teams across the company to build the next generation observability product - Have operated large-scale distributed systems in production. ( especially logging systems or some other time series databases) - Thrive in ambiguous environments and roll up your sleeves to solve unscoped problems. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Software Engineer, Observability role.
- Own core observability infrastructure, including distributed logging, time series, and trace storage
- Build AI-native tools that help engineers detect, understand, and resolve issues autonomously.
- Contribute to UI experiences like dashboards, notebooking, or interactive debugging
- Collaborate closely with engineers, researchers, user ops, and other teams across the company to build the next generation observability product
- Have operated large-scale distributed systems in production. ( especially logging systems or some other time series databases)
- Thrive in ambiguous environments and roll up your sleeves to solve unscoped problems.
Why people would want this job
OpenAI published these compensation, benefits, or working-context details with the role.
- Own core observability infrastructure, including distributed logging, time series, and trace storage
- Build AI-native tools that help engineers detect, understand, and resolve issues autonomously.
- Contribute to UI experiences like dashboards, notebooking, or interactive debugging
- Collaborate closely with engineers, researchers, user ops, and other teams across the company to build the next generation observability product
- Have operated large-scale distributed systems in production. ( especially logging systems or some other time series databases)
- Thrive in ambiguous environments and roll up your sleeves to solve unscoped problems.
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Software Engineer, Observability is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
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Compensation read
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On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
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Source: jobs.ashbyhq.com · Source ID: d4dcd344-40cf-44d6-a7dd-172118eb0842 · Confidence: 97/100 · Last checked: May 7, 2026
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