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Go Jobs in California
84 open positions · Updated 2 weeks ago
84 Go roles across 27 companies, most in Backend; 1% fully remote; typical advertised salary $180k
Who is hiring (27 companies)
Work arrangement: 1 fully remote · 30 hybrid · 24 on-site · 29 not stated
Advertised salaries: p25 $160k · median $180k · p75 $200k (from 64 disclosed annual salaries, USD)
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 20 of 84 positions
Search with filters →Join Okta as a Senior Site Reliability Engineer to build reliable cloud services with a focus on automation and operational excellence.
Join Datadog as a Developer Advocate to leverage your engineering and storytelling skills in service management and incident response.
Join Okta as a Staff AI Security Engineer to design secure AI infrastructure and mentor engineers in a hybrid work environment.
Join Databricks as a Sr. Partner Engineer to lead technical engagements with security partners and drive joint innovation.
Join Databricks as a Staff Software Engineer to build LLM infrastructure for large-scale AI workloads.
Design and operate the core systems for release engineering at Brex, ensuring safe and reliable deployments in a hybrid work environment.
Join Okta as a Staff Software Engineer to build a scalable AI platform that addresses complex engineering challenges.
Join Fivetran as a Senior Site Reliability Engineer to enhance the reliability of our data infrastructure in a hybrid work environment.
Join Okta as a Staff Product Security Engineer to safeguard products through security reviews and mentoring while driving automation in vulnerability detection.
Join Okta as a Staff Product Security Engineer to conduct offensive security research on AI systems and mentor engineers.
Lead a team of technical writers to create high-quality documentation for Datadog's products in a fully remote role.
Join Datadog as a Senior Manager, Product Solutions Architecture, driving partner technical initiatives in a hybrid work environment.
Develop and run the research stack that powers Databricks AI Research, enabling rapid large-scale experiments.